paragraph_index int64 | sec string | p_has_citation int64 | cites string | citeids list | pmid int64 | cited_id string | sentences string | all_sent_cites list | sent_len int64 | sentence_batch_index int64 | sent_has_citation float64 | qc_fail bool | cited_sentence string | cites_in_sentence list | cln_sentence string | is_cap bool | is_alpha bool | ends_wp bool | cit_qc bool | lgtm bool | __index_level_0__ int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | DISCUSSION | 1 | 37 | [
"b37"
] | 17,090,597 | pmid-15542822 | Since Sgf73p is required for formation of the PIC assembly (and hence transcriptional activation), histone eviction from the SAGA-dependent promoters would thus be significantly reduced in Δsgf73. | [
"37"
] | 196 | 4,000 | 0 | false | Since Sgf73p is required for formation of the PIC assembly (and hence transcriptional activation), histone eviction from the SAGA-dependent promoters would thus be significantly reduced in Δsgf73. | [] | Since Sgf73p is required for formation of the PIC assembly (and hence transcriptional activation), histone eviction from the SAGA-dependent promoters would thus be significantly reduced in Δsgf73. | true | true | true | true | true | 670 |
3 | DISCUSSION | 1 | 37 | [
"b37"
] | 17,090,597 | pmid-15542822 | Indeed, our study demonstrates the elevated levels of histone H3 at the SAGA-dependent promoters in the absence of Sgf73p. | [
"37"
] | 122 | 4,001 | 0 | false | Indeed, our study demonstrates the elevated levels of histone H3 at the SAGA-dependent promoters in the absence of Sgf73p. | [] | Indeed, our study demonstrates the elevated levels of histone H3 at the SAGA-dependent promoters in the absence of Sgf73p. | true | true | true | true | true | 670 |
3 | DISCUSSION | 1 | 37 | [
"b37"
] | 17,090,597 | pmid-15542822 | Thus, impairment of PIC formation in Δsgf73 decreases histone H3 eviction and hence alters chromatin structure at the SAGA-dependent promoters. | [
"37"
] | 143 | 4,002 | 0 | false | Thus, impairment of PIC formation in Δsgf73 decreases histone H3 eviction and hence alters chromatin structure at the SAGA-dependent promoters. | [] | Thus, impairment of PIC formation in Δsgf73 decreases histone H3 eviction and hence alters chromatin structure at the SAGA-dependent promoters. | true | true | true | true | true | 670 |
4 | DISCUSSION | 1 | 9 | [
"b9",
"b10"
] | 17,090,597 | pmid-12052880|pmid-15932941 | In summary, we provide evidence that Sgf73 is a component of the SAGA complex in vivo, consistent with previous biochemical data (9,10). | [
"9",
"10"
] | 136 | 4,003 | 0 | false | In summary, we provide evidence that Sgf73 is a component of the SAGA complex in vivo, consistent with previous biochemical data. | [
"9,10"
] | In summary, we provide evidence that Sgf73 is a component of the SAGA complex in vivo, consistent with previous biochemical data. | true | true | true | true | true | 671 |
4 | DISCUSSION | 1 | 9 | [
"b9",
"b10"
] | 17,090,597 | pmid-12052880|pmid-15932941 | Sgf73p regulates SAGA recruitment, and is required for the assembly of PIC at the core promoters of the SAGA-dependent genes. | [
"9",
"10"
] | 125 | 4,004 | 0 | false | Sgf73p regulates SAGA recruitment, and is required for the assembly of PIC at the core promoters of the SAGA-dependent genes. | [] | Sgf73p regulates SAGA recruitment, and is required for the assembly of PIC at the core promoters of the SAGA-dependent genes. | true | true | true | true | true | 671 |
4 | DISCUSSION | 1 | 9 | [
"b9",
"b10"
] | 17,090,597 | pmid-12052880|pmid-15932941 | However, formation of the PIC assembly at the core promoters is differentially regulated by histone H3 acetylation or Gcn5p-HAT activity of SAGA. | [
"9",
"10"
] | 145 | 4,005 | 0 | false | However, formation of the PIC assembly at the core promoters is differentially regulated by histone H3 acetylation or Gcn5p-HAT activity of SAGA. | [] | However, formation of the PIC assembly at the core promoters is differentially regulated by histone H3 acetylation or Gcn5p-HAT activity of SAGA. | true | true | true | true | true | 671 |
4 | DISCUSSION | 1 | 9 | [
"b9",
"b10"
] | 17,090,597 | pmid-12052880|pmid-15932941 | Further, impairment of PIC formation in Δsgf73 lowers histone H3 eviction from the SAGA-dependent promoters, and thus alters chromatin structure. | [
"9",
"10"
] | 145 | 4,006 | 0 | false | Further, impairment of PIC formation in Δsgf73 lowers histone H3 eviction from the SAGA-dependent promoters, and thus alters chromatin structure. | [] | Further, impairment of PIC formation in Δsgf73 lowers histone H3 eviction from the SAGA-dependent promoters, and thus alters chromatin structure. | true | true | true | true | true | 671 |
4 | DISCUSSION | 1 | 9 | [
"b9",
"b10"
] | 17,090,597 | pmid-12052880|pmid-15932941 | These results provide valuable information on the functional role of yeast Sgf73p (and possibly human ataxin-7 or Sca7p) in regulation of gene expression in vivo. | [
"9",
"10"
] | 162 | 4,007 | 0 | false | These results provide valuable information on the functional role of yeast Sgf73p (and possibly human ataxin-7 or Sca7p) in regulation of gene expression in vivo. | [] | These results provide valuable information on the functional role of yeast Sgf73p (and possibly human ataxin-7 or Sca7p) in regulation of gene expression in vivo. | true | true | true | true | true | 671 |
0 | INTRODUCTION | 0 | null | null | 16,893,953 | null | Pathway bioinformatics has become an increasingly active area of research in the past 5 years, yet different researchers mean very different things by the word ‘pathway’. | null | 170 | 4,008 | 0 | false | null | null | Pathway bioinformatics has become an increasingly active area of research in the past 5 years, yet different researchers mean very different things by the word ‘pathway’. | true | true | true | true | true | 672 |
0 | INTRODUCTION | 0 | null | null | 16,893,953 | null | For example, ‘pathway’ can denote a metabolic pathway involving a sequence of enzyme-catalyzed reactions of small molecules, or a signaling pathway involving a set of protein-phosphorylation reactions and gene regulation events. | null | 228 | 4,009 | 0 | false | null | null | For example, ‘pathway’ can denote a metabolic pathway involving a sequence of enzyme-catalyzed reactions of small molecules, or a signaling pathway involving a set of protein-phosphorylation reactions and gene regulation events. | true | true | true | true | true | 672 |
1 | INTRODUCTION | 0 | null | null | 16,893,953 | null | We argue that understanding the notion of pathways used by each pathway database (DB) is a critical part of understanding that resource. | null | 136 | 4,010 | 0 | false | null | null | We argue that understanding the notion of pathways used by each pathway database (DB) is a critical part of understanding that resource. | true | true | true | true | true | 673 |
1 | INTRODUCTION | 0 | null | null | 16,893,953 | null | Furthermore, we argue that the use of different pathway conceptualizations can lead to different outcomes from a computational study that relies on pathway databases. | null | 166 | 4,011 | 0 | false | null | null | Furthermore, we argue that the use of different pathway conceptualizations can lead to different outcomes from a computational study that relies on pathway databases. | true | true | true | true | true | 673 |
1 | INTRODUCTION | 0 | null | null | 16,893,953 | null | By analogy, just as a study of associations between single-nucleotide polymorphisms and disease prevalence must pay extremely careful attention to the human populations from which the sequence data were drawn, studies using pathway data, or computational tools based on pathway data, must ensure that the conceptualizati... | null | 404 | 4,012 | 0 | false | null | null | By analogy, just as a study of associations between single-nucleotide polymorphisms and disease prevalence must pay extremely careful attention to the human populations from which the sequence data were drawn, studies using pathway data, or computational tools based on pathway data, must ensure that the conceptualizati... | true | true | true | true | true | 673 |
1 | INTRODUCTION | 0 | null | null | 16,893,953 | null | Different pathway ontologies are best suited for different tasks, and can often be complementary. | null | 97 | 4,013 | 0 | false | null | null | Different pathway ontologies are best suited for different tasks, and can often be complementary. | true | true | true | true | true | 673 |
2 | INTRODUCTION | 1 | 1 | [
"b1",
"b2"
] | 16,893,953 | pmid-14681412|pmid-16246909 | We explore these issues in the context of two well-known metabolic pathway databases, KEGG (1) and BioCyc (2). | [
"1",
"2"
] | 110 | 4,014 | 1 | false | We explore these issues in the context of two well-known metabolic pathway databases, KEGG and BioCyc. | [
"1",
"2"
] | We explore these issues in the context of two well-known metabolic pathway databases, KEGG and BioCyc. | true | true | true | true | true | 674 |
2 | INTRODUCTION | 1 | 1 | [
"b1",
"b2"
] | 16,893,953 | pmid-14681412|pmid-16246909 | We show how their pathway ontologies differ, and we investigate the suitability of different conceptualizations for different computational uses of pathway data. | [
"1",
"2"
] | 161 | 4,015 | 0 | false | We show how their pathway ontologies differ, and we investigate the suitability of different conceptualizations for different computational uses of pathway data. | [] | We show how their pathway ontologies differ, and we investigate the suitability of different conceptualizations for different computational uses of pathway data. | true | true | true | true | true | 674 |
0 | DISCUSSION | 0 | null | null | 16,893,953 | null | The preceding statistics clearly show that KEGG pathways are on average significantly larger than BioCyc pathways. | null | 114 | 4,016 | 0 | false | null | null | The preceding statistics clearly show that KEGG pathways are on average significantly larger than BioCyc pathways. | true | true | true | true | true | 675 |
0 | DISCUSSION | 0 | null | null | 16,893,953 | null | Our analysis of example pathways indicates that the reason for this size difference is that individual KEGG pathways are substrate-centric—they combine multiple biological processes that impinge on a single substrate, such as the biosynthesis, catabolism and tRNA-charging of an amino acid. | null | 290 | 4,017 | 0 | false | null | null | Our analysis of example pathways indicates that the reason for this size difference is that individual KEGG pathways are substrate-centric—they combine multiple biological processes that impinge on a single substrate, such as the biosynthesis, catabolism and tRNA-charging of an amino acid. | true | true | true | true | true | 675 |
0 | DISCUSSION | 0 | null | null | 16,893,953 | null | Individual KEGG pathways can contain alternative routes of biosynthesis (or catabolism) of a substrate, either from one organism or from multiple organisms. | null | 156 | 4,018 | 0 | false | null | null | Individual KEGG pathways can contain alternative routes of biosynthesis (or catabolism) of a substrate, either from one organism or from multiple organisms. | true | true | true | true | true | 675 |
1 | DISCUSSION | 0 | null | null | 16,893,953 | null | Our experiments with genome-context methods have shown that the likelihood that a pair of randomly chosen genes from the same BioCyc pathway is functionally related is much greater than that of a pair of randomly chosen genes from the same KEGG pathway map. | null | 257 | 4,019 | 0 | false | null | null | Our experiments with genome-context methods have shown that the likelihood that a pair of randomly chosen genes from the same BioCyc pathway is functionally related is much greater than that of a pair of randomly chosen genes from the same KEGG pathway map. | true | true | true | true | true | 676 |
1 | DISCUSSION | 0 | null | null | 16,893,953 | null | This result is consistent with the notion of KEGG pathway maps as mosaics that combine multiple biological processes. | null | 117 | 4,020 | 0 | false | null | null | This result is consistent with the notion of KEGG pathway maps as mosaics that combine multiple biological processes. | true | true | true | true | true | 676 |
2 | DISCUSSION | 0 | null | null | 16,893,953 | pmid-14681412|pmid-16246909 | What do these differences in pathway conceptualization imply about the suitability of BioCyc or KEGG pathways for particular computational purposes in bioinformatics? | null | 166 | 4,021 | 0 | false | null | null | What do these differences in pathway conceptualization imply about the suitability of BioCyc or KEGG pathways for particular computational purposes in bioinformatics? | true | true | true | true | true | 677 |
2 | DISCUSSION | 0 | null | null | 16,893,953 | pmid-14681412|pmid-16246909 | Here, we consider several uses of pathway databases in bioinformatics and the possible utility of these conceptualizations for each. | null | 132 | 4,022 | 0 | false | null | null | Here, we consider several uses of pathway databases in bioinformatics and the possible utility of these conceptualizations for each. | true | true | true | true | true | 677 |
3 | DISCUSSION | 0 | null | null | 16,893,953 | null | One goal for a pathway DB is to precisely encode all metabolic processes present in a given organism, as determined either experimentally or computationally. | null | 157 | 4,023 | 0 | false | null | null | One goal for a pathway DB is to precisely encode all metabolic processes present in a given organism, as determined either experimentally or computationally. | true | true | true | true | true | 678 |
3 | DISCUSSION | 0 | null | null | 16,893,953 | null | We posit that the BioCyc pathway conceptualization is better suited to this task, because each BioCyc pathway database object represents as closely as possible the set of reactions occurring in one biological process in one organism. | null | 233 | 4,024 | 0 | false | null | null | We posit that the BioCyc pathway conceptualization is better suited to this task, because each BioCyc pathway database object represents as closely as possible the set of reactions occurring in one biological process in one organism. | true | true | true | true | true | 678 |
3 | DISCUSSION | 0 | null | null | 16,893,953 | null | In contrast, a KEGG reference map by its very nature integrates reactions from many organisms, and from many biological processes, and thereby blurs the boundaries between those processes. | null | 188 | 4,025 | 0 | false | null | null | In contrast, a KEGG reference map by its very nature integrates reactions from many organisms, and from many biological processes, and thereby blurs the boundaries between those processes. | true | true | true | true | true | 678 |
3 | DISCUSSION | 0 | null | null | 16,893,953 | null | A user viewing an uncolored reference map has no way to ascertain which parts of the map were originally elucidated in which organism(s), nor to ascertain which parts of the map work together as a single process. | null | 212 | 4,026 | 0 | false | null | null | A user viewing an uncolored reference map has no way to ascertain which parts of the map were originally elucidated in which organism(s), nor to ascertain which parts of the map work together as a single process. | true | true | true | true | true | 678 |
3 | DISCUSSION | 0 | null | null | 16,893,953 | null | In contrast, every BioCyc pathway clearly indicates the organism to which it pertains. | null | 86 | 4,027 | 0 | false | null | null | In contrast, every BioCyc pathway clearly indicates the organism to which it pertains. | true | true | true | true | true | 678 |
3 | DISCUSSION | 0 | null | null | 16,893,953 | null | For example, pathways in the MetaCyc DB are each tagged with the names of the one or more species in which they were experimentally elucidated. | null | 143 | 4,028 | 0 | false | null | null | For example, pathways in the MetaCyc DB are each tagged with the names of the one or more species in which they were experimentally elucidated. | true | true | true | true | true | 678 |
4 | DISCUSSION | 0 | null | null | 16,893,953 | null | Although the organism-specific coloring of KEGG maps does paint a suggestive picture of what pathways might be present in the organism, the KEGG framework does not allow a pathway map to be precisely customized to the metabolism of the organism. | null | 245 | 4,029 | 0 | false | null | null | Although the organism-specific coloring of KEGG maps does paint a suggestive picture of what pathways might be present in the organism, the KEGG framework does not allow a pathway map to be precisely customized to the metabolism of the organism. | true | true | true | true | true | 679 |
4 | DISCUSSION | 0 | null | null | 16,893,953 | null | For example, a pathway that is in fact absent from the organism, despite the presence in the organism of several enzymes from the pathway, cannot be removed (manually or otherwise) from the KEGG map. | null | 199 | 4,030 | 0 | false | null | null | For example, a pathway that is in fact absent from the organism, despite the presence in the organism of several enzymes from the pathway, cannot be removed (manually or otherwise) from the KEGG map. | true | true | true | true | true | 679 |
4 | DISCUSSION | 0 | null | null | 16,893,953 | null | Nor can a KEGG map indicate how its component reactions are assigned to distinct biological processes that are regulated as a unit, that operate as a functional unit, and that evolve as a functional unit. | null | 204 | 4,031 | 0 | false | null | null | Nor can a KEGG map indicate how its component reactions are assigned to distinct biological processes that are regulated as a unit, that operate as a functional unit, and that evolve as a functional unit. | true | true | true | true | true | 679 |
5 | DISCUSSION | 0 | null | null | 16,893,953 | null | An alternative goal for a pathway DB is to communicate to the user all processes that contribute to the metabolism of a single substrate, or a set of related substrates. | null | 169 | 4,032 | 0 | false | null | null | An alternative goal for a pathway DB is to communicate to the user all processes that contribute to the metabolism of a single substrate, or a set of related substrates. | true | true | true | true | true | 680 |
5 | DISCUSSION | 0 | null | null | 16,893,953 | null | The KEGG pathway conceptualization is well suited to this task, because each KEGG map combines many processes related to a given substrate within one diagram. | null | 158 | 4,033 | 0 | false | null | null | The KEGG pathway conceptualization is well suited to this task, because each KEGG map combines many processes related to a given substrate within one diagram. | true | true | true | true | true | 680 |
6 | DISCUSSION | 0 | null | null | 16,893,953 | null | BioCyc is also well suited to this task, but takes different approaches, under the philosophy that such relationships can be detected computationally in a pathway DB. | null | 166 | 4,034 | 0 | false | null | null | BioCyc is also well suited to this task, but takes different approaches, under the philosophy that such relationships can be detected computationally in a pathway DB. | true | true | true | true | true | 681 |
6 | DISCUSSION | 0 | null | null | 16,893,953 | null | A BioCyc user can understand the multiple processes impinging on one substrate by (i) viewing a software-generated compound page that shows all reactions and pathways that consume or produce that compound; (ii) viewing a super pathway that combines multiple pathways in which that compound is a substrate; or (iii) reque... | null | 437 | 4,035 | 0 | false | null | null | A BioCyc user can understand the multiple processes impinging on one substrate by (i) viewing a software-generated compound page that shows all reactions and pathways that consume or produce that compound; (ii) viewing a super pathway that combines multiple pathways in which that compound is a substrate; or (iii) reque... | true | true | false | true | false | 681 |
6 | DISCUSSION | 0 | null | null | 16,893,953 | null | to depict all cellular pathways that metabolize that compound (such highlighting is supported in the desktop version of the software, but not through the website). | null | 163 | 4,036 | 0 | false | null | null | to depict all cellular pathways that metabolize that compound (such highlighting is supported in the desktop version of the software, but not through the website). | false | true | true | true | false | 681 |
7 | DISCUSSION | 0 | null | null | 16,893,953 | null | Pathway databases are commonly used to predict the pathway complement of a newly sequenced organism by analogy to known pathways from other organisms. | null | 150 | 4,037 | 0 | false | null | null | Pathway databases are commonly used to predict the pathway complement of a newly sequenced organism by analogy to known pathways from other organisms. | true | true | true | true | true | 682 |
7 | DISCUSSION | 0 | null | null | 16,893,953 | null | In our opinion, pathway prediction will be more accurate if the pathway units used for prediction correspond as closely as possible to those biological processes that are conserved as units in evolution. | null | 203 | 4,038 | 0 | false | null | null | In our opinion, pathway prediction will be more accurate if the pathway units used for prediction correspond as closely as possible to those biological processes that are conserved as units in evolution. | true | true | true | true | true | 682 |
7 | DISCUSSION | 0 | null | null | 16,893,953 | null | When predictions are considered in terms of distinct biological processes, it is easier to identify cases where there is insufficient evidence to support the prediction of a pathway, e.g. | null | 187 | 4,039 | 0 | false | null | null | When predictions are considered in terms of distinct biological processes, it is easier to identify cases where there is insufficient evidence to support the prediction of a pathway, e.g. | true | true | true | true | true | 682 |
7 | DISCUSSION | 0 | null | null | 16,893,953 | null | when only a few enzymes for a pathway are present and those enzymes also catalyze reactions in other, more completely predicted pathways. | null | 137 | 4,040 | 0 | false | null | null | when only a few enzymes for a pathway are present and those enzymes also catalyze reactions in other, more completely predicted pathways. | false | true | true | true | false | 682 |
7 | DISCUSSION | 0 | null | null | 16,893,953 | null | If the pathways used for prediction include multiple biological processes, the probability of false-positive prediction of pathway components will be increased because the presence of enzymes for one process will incorrectly be interpreted as evidence for another process. | null | 272 | 4,041 | 0 | false | null | null | If the pathways used for prediction include multiple biological processes, the probability of false-positive prediction of pathway components will be increased because the presence of enzymes for one process will incorrectly be interpreted as evidence for another process. | true | true | true | true | true | 682 |
8 | DISCUSSION | 0 | null | null | 16,893,953 | null | For example, consider the KEGG map ‘Methane metabolism’ as projected into E.coli K-12 MG1655 (). | null | 96 | 4,042 | 0 | false | null | null | For example, consider the KEGG map ‘Methane metabolism’ as projected into E.coli K-12 MG1655 (). | true | true | true | true | true | 683 |
8 | DISCUSSION | 0 | null | null | 16,893,953 | null | The KEGG coloring of this map indicates that six of the enzymes of this pathway are present in E.coli. | null | 102 | 4,043 | 0 | false | null | null | The KEGG coloring of this map indicates that six of the enzymes of this pathway are present in E.coli. | true | true | true | true | true | 683 |
8 | DISCUSSION | 0 | null | null | 16,893,953 | null | But is KEGG in fact predicting the presence of this pathway? | null | 60 | 4,044 | 0 | false | null | null | But is KEGG in fact predicting the presence of this pathway? | true | true | true | true | true | 683 |
8 | DISCUSSION | 0 | null | null | 16,893,953 | null | One interpretation is to say yes, KEGG predicts the pathway as present in E.coli because the pathway map is selectable for E.coli, in contrast to the KEGG ‘Photosynthesis’ pathway, which is selectable only for 11 photosynthetic organisms in KEGG version 35.1. | null | 259 | 4,045 | 0 | false | null | null | One interpretation is to say yes, KEGG predicts the pathway as present in E.coli because the pathway map is selectable for E.coli, in contrast to the KEGG ‘Photosynthesis’ pathway, which is selectable only for 11 photosynthetic organisms in KEGG version 35.1. | true | true | true | true | true | 683 |
8 | DISCUSSION | 0 | null | null | 16,893,953 | null | This interpretation is clearly the correct one for computational users of KEGG, who perform computations across all KEGG maps that are provided for a given organism, because programs do not have the biological wisdom that E.coli does not metabolize methane. | null | 257 | 4,046 | 0 | false | null | null | This interpretation is clearly the correct one for computational users of KEGG, who perform computations across all KEGG maps that are provided for a given organism, because programs do not have the biological wisdom that E.coli does not metabolize methane. | true | true | true | true | true | 683 |
9 | DISCUSSION | 0 | null | null | 16,893,953 | null | Another interpretation is that the inference as to whether this pathway is present in E.coli is left to the user—that the purpose of the KEGG site is simply to aid the user in making this final assessment. | null | 205 | 4,047 | 0 | false | null | null | Another interpretation is that the inference as to whether this pathway is present in E.coli is left to the user—that the purpose of the KEGG site is simply to aid the user in making this final assessment. | true | true | true | true | true | 684 |
10 | DISCUSSION | 0 | null | null | 16,893,953 | null | E.coli is not known to produce or catabolize methane, and most of the six enzymes of this pathway are actually used in other E.coli pathways, supporting the notion that using such large pathways as predictive units increases the probability that some enzymes in the pathway will be present because of their role in other... | null | 478 | 4,048 | 0 | false | null | null | E.coli is not known to produce or catabolize methane, and most of the six enzymes of this pathway are actually used in other E.coli pathways, supporting the notion that using such large pathways as predictive units increases the probability that some enzymes in the pathway will be present because of their role in other... | true | true | true | true | true | 685 |
11 | DISCUSSION | 0 | null | null | 16,893,953 | null | A final point related to pathway prediction is that KEGG maps may have an advantage when the user is trying to distinguish which of several alternative pathway variants is present in a given organism. | null | 200 | 4,049 | 0 | false | null | null | A final point related to pathway prediction is that KEGG maps may have an advantage when the user is trying to distinguish which of several alternative pathway variants is present in a given organism. | true | true | true | true | true | 686 |
11 | DISCUSSION | 0 | null | null | 16,893,953 | null | For example, a number of pathways of arginine catabolism are present in MetaCyc and in KEGG. | null | 92 | 4,050 | 0 | false | null | null | For example, a number of pathways of arginine catabolism are present in MetaCyc and in KEGG. | true | true | true | true | true | 686 |
11 | DISCUSSION | 0 | null | null | 16,893,953 | null | The KEGG arginine catabolism map shows all these variants simultaneously, and by coloring all enzymes present in the organism on that map, the user can easily compare the evidence for each variant. | null | 197 | 4,051 | 0 | false | null | null | The KEGG arginine catabolism map shows all these variants simultaneously, and by coloring all enzymes present in the organism on that map, the user can easily compare the evidence for each variant. | true | true | true | true | true | 686 |
11 | DISCUSSION | 0 | null | null | 16,893,953 | null | In contrast, the BioCyc approach is to computationally compare the evidence for each variant, and to predict multiple alternative variants in a given organism if the pathway predictor finds significant evidence for more than one. | null | 229 | 4,052 | 0 | false | null | null | In contrast, the BioCyc approach is to computationally compare the evidence for each variant, and to predict multiple alternative variants in a given organism if the pathway predictor finds significant evidence for more than one. | true | true | true | true | true | 686 |
11 | DISCUSSION | 0 | null | null | 16,893,953 | null | The user must display each variant separately to manually compare the evidence for them. | null | 88 | 4,053 | 0 | false | null | null | The user must display each variant separately to manually compare the evidence for them. | true | true | true | true | true | 686 |
12 | DISCUSSION | 1 | 23 | [
"b23"
] | 16,893,953 | pmid-15189570 | Another use of pathway DBs is to detect missing pathway components, or ‘pathway holes’ as we have called them in past work (23). | [
"23"
] | 128 | 4,054 | 1 | false | Another use of pathway DBs is to detect missing pathway components, or ‘pathway holes’ as we have called them in past work. | [
"23"
] | Another use of pathway DBs is to detect missing pathway components, or ‘pathway holes’ as we have called them in past work. | true | true | true | true | true | 687 |
12 | DISCUSSION | 1 | 23 | [
"b23"
] | 16,893,953 | pmid-15189570 | Consider the KEGG pathway for ‘Phenylalanine, tyrosine and tryptophan biosynthesis’ () as projected into H.sapiens. | [
"23"
] | 115 | 4,055 | 0 | false | Consider the KEGG pathway for ‘Phenylalanine, tyrosine and tryptophan biosynthesis’ () as projected into H.sapiens. | [] | Consider the KEGG pathway for ‘Phenylalanine, tyrosine and tryptophan biosynthesis’ () as projected into H.sapiens. | true | true | true | true | true | 687 |
12 | DISCUSSION | 1 | 23 | [
"b23"
] | 16,893,953 | pmid-15189570 | That KEGG page shows that 8 of the 44 enzymes in this map are present in humans. | [
"23"
] | 80 | 4,056 | 0 | false | That KEGG page shows that 8 of the 44 enzymes in this map are present in humans. | [] | That KEGG page shows that 8 of the 44 enzymes in this map are present in humans. | true | true | true | true | true | 687 |
12 | DISCUSSION | 1 | 23 | [
"b23"
] | 16,893,953 | pmid-15189570 | Straightforward application of the pathway hole filling approach would instruct an algorithm to search the human genome for enzymes that catalyze all the other 36 steps in this KEGG map, even though it is well known that humans cannot synthesize phenylalanine, and even though, as a mosaic, this KEGG pathway probably co... | [
"23"
] | 431 | 4,057 | 0 | false | Straightforward application of the pathway hole filling approach would instruct an algorithm to search the human genome for enzymes that catalyze all the other 36 steps in this KEGG map, even though it is well known that humans cannot synthesize phenylalanine, and even though, as a mosaic, this KEGG pathway probably co... | [] | Straightforward application of the pathway hole filling approach would instruct an algorithm to search the human genome for enzymes that catalyze all the other 36 steps in this KEGG map, even though it is well known that humans cannot synthesize phenylalanine, and even though, as a mosaic, this KEGG pathway probably co... | true | true | true | true | true | 687 |
12 | DISCUSSION | 1 | 23 | [
"b23"
] | 16,893,953 | pmid-15189570 | One view is that large KEGG pathways are well suited to this task because it does not hurt to cast a wide net when looking for missing components. | [
"23"
] | 146 | 4,058 | 0 | false | One view is that large KEGG pathways are well suited to this task because it does not hurt to cast a wide net when looking for missing components. | [] | One view is that large KEGG pathways are well suited to this task because it does not hurt to cast a wide net when looking for missing components. | true | true | true | true | true | 687 |
12 | DISCUSSION | 1 | 23 | [
"b23"
] | 16,893,953 | pmid-15189570 | An opposing view is that the wider a net is cast, the more likely it is that we will find false positives, and one should search only for components of the specific biological processes that are predicted to be present. | [
"23"
] | 219 | 4,059 | 0 | false | An opposing view is that the wider a net is cast, the more likely it is that we will find false positives, and one should search only for components of the specific biological processes that are predicted to be present. | [] | An opposing view is that the wider a net is cast, the more likely it is that we will find false positives, and one should search only for components of the specific biological processes that are predicted to be present. | true | true | true | true | true | 687 |
13 | DISCUSSION | 0 | null | null | 16,893,953 | null | Developers of computational methods for predicting pathways train and evaluate their methods with respect to known pathways in pathway DBs. | null | 139 | 4,060 | 0 | false | null | null | Developers of computational methods for predicting pathways train and evaluate their methods with respect to known pathways in pathway DBs. | true | true | true | true | true | 688 |
13 | DISCUSSION | 0 | null | null | 16,893,953 | null | Developers of such methods should choose the pathway conceptualization that is closer to the type of pathway they want to predict. | null | 130 | 4,061 | 0 | false | null | null | Developers of such methods should choose the pathway conceptualization that is closer to the type of pathway they want to predict. | true | true | true | true | true | 688 |
13 | DISCUSSION | 0 | null | null | 16,893,953 | null | A learning program that is exposed to instances of the wrong concept will usually learn the wrong concept. | null | 106 | 4,062 | 0 | false | null | null | A learning program that is exposed to instances of the wrong concept will usually learn the wrong concept. | true | true | true | true | true | 688 |
14 | DISCUSSION | 0 | null | null | 16,893,953 | null | Many developers of genome context methods train and evaluate their methods against pathway DBs, under the rationale that all genes within a single pathway must be functionally related, and therefore the more frequently their genome-context method predicts that two genes within the same pathway are functionally related,... | null | 348 | 4,063 | 0 | false | null | null | Many developers of genome context methods train and evaluate their methods against pathway DBs, under the rationale that all genes within a single pathway must be functionally related, and therefore the more frequently their genome-context method predicts that two genes within the same pathway are functionally related,... | true | true | true | true | true | 689 |
14 | DISCUSSION | 0 | null | null | 16,893,953 | null | Again, developers of such methods should choose a pathway DB that uses a conceptualization that is closest to the notion of ‘functionally related’ that they want to predict. | null | 173 | 4,064 | 0 | false | null | null | Again, developers of such methods should choose a pathway DB that uses a conceptualization that is closest to the notion of ‘functionally related’ that they want to predict. | true | true | true | true | true | 689 |
14 | DISCUSSION | 0 | null | null | 16,893,953 | null | A researcher who considers ‘functionally related’ to mean that two genes are involved in separate biological processes that impinge on a common substrate with no other evolutionary or regulatory constraints should choose KEGG pathways. | null | 235 | 4,065 | 0 | false | null | null | A researcher who considers ‘functionally related’ to mean that two genes are involved in separate biological processes that impinge on a common substrate with no other evolutionary or regulatory constraints should choose KEGG pathways. | true | true | true | true | true | 689 |
14 | DISCUSSION | 0 | null | null | 16,893,953 | null | A researcher who considers genes to be functionally related if they are involved in a single biological process, are regulated as a unit, and are conserved evolutionarily should choose BioCyc pathways. | null | 201 | 4,066 | 0 | false | null | null | A researcher who considers genes to be functionally related if they are involved in a single biological process, are regulated as a unit, and are conserved evolutionarily should choose BioCyc pathways. | true | true | true | true | true | 689 |
15 | DISCUSSION | 1 | 24 | [
"b24",
"b25"
] | 16,893,953 | pmid-15287973|pmid-15024411 | Because these methods are likely to play a significant role in genome annotation in the future (24,25), accurate evaluation of the methods is critical in order to maximize their accuracy. | [
"24",
"25"
] | 187 | 4,067 | 0 | false | Because these methods are likely to play a significant role in genome annotation in the future, accurate evaluation of the methods is critical in order to maximize their accuracy. | [
"24,25"
] | Because these methods are likely to play a significant role in genome annotation in the future, accurate evaluation of the methods is critical in order to maximize their accuracy. | true | true | true | true | true | 690 |
15 | DISCUSSION | 1 | 24 | [
"b24",
"b25"
] | 16,893,953 | pmid-15287973|pmid-15024411 | We note that the definition of a functional association has always been vague in genome-context research, and that few publications in the field attempt to define the term precisely. | [
"24",
"25"
] | 182 | 4,068 | 0 | false | We note that the definition of a functional association has always been vague in genome-context research, and that few publications in the field attempt to define the term precisely. | [] | We note that the definition of a functional association has always been vague in genome-context research, and that few publications in the field attempt to define the term precisely. | true | true | true | true | true | 690 |
15 | DISCUSSION | 1 | 24 | [
"b24",
"b25"
] | 16,893,953 | pmid-15287973|pmid-15024411 | Clarification of the goals of genome-context methods would aid in selecting an optimal evaluation strategy. | [
"24",
"25"
] | 107 | 4,069 | 0 | false | Clarification of the goals of genome-context methods would aid in selecting an optimal evaluation strategy. | [] | Clarification of the goals of genome-context methods would aid in selecting an optimal evaluation strategy. | true | true | true | true | true | 690 |
16 | DISCUSSION | 1 | 26 | [
"b26",
"b27"
] | 16,893,953 | pmid-10370234|pmid-11984561 | Some scientists use pathway DBs to analyze large-scale data such as gene-expression measurements by viewing them within a pathway context (26,27). | [
"26",
"27"
] | 146 | 4,070 | 0 | false | Some scientists use pathway DBs to analyze large-scale data such as gene-expression measurements by viewing them within a pathway context. | [
"26,27"
] | Some scientists use pathway DBs to analyze large-scale data such as gene-expression measurements by viewing them within a pathway context. | true | true | true | true | true | 691 |
16 | DISCUSSION | 1 | 26 | [
"b26",
"b27"
] | 16,893,953 | pmid-10370234|pmid-11984561 | Various application programs perform this analysis by coloring steps within pathway diagrams with colors corresponding to gene expression levels. | [
"26",
"27"
] | 145 | 4,071 | 0 | false | Various application programs perform this analysis by coloring steps within pathway diagrams with colors corresponding to gene expression levels. | [] | Various application programs perform this analysis by coloring steps within pathway diagrams with colors corresponding to gene expression levels. | true | true | true | true | true | 691 |
16 | DISCUSSION | 1 | 26 | [
"b26",
"b27"
] | 16,893,953 | pmid-10370234|pmid-11984561 | It is not clear that either of the two pathway conceptualizations is particularly better suited to this task. | [
"26",
"27"
] | 109 | 4,072 | 0 | false | It is not clear that either of the two pathway conceptualizations is particularly better suited to this task. | [] | It is not clear that either of the two pathway conceptualizations is particularly better suited to this task. | true | true | true | true | true | 691 |
16 | DISCUSSION | 1 | 26 | [
"b26",
"b27"
] | 16,893,953 | pmid-10370234|pmid-11984561 | KEGG pathways alone allow the scientist to view data that encompasses several related biological processes, and are thus broader than a single BioCyc pathway. | [
"26",
"27"
] | 158 | 4,073 | 0 | false | KEGG pathways alone allow the scientist to view data that encompasses several related biological processes, and are thus broader than a single BioCyc pathway. | [] | KEGG pathways alone allow the scientist to view data that encompasses several related biological processes, and are thus broader than a single BioCyc pathway. | true | true | true | true | true | 691 |
16 | DISCUSSION | 1 | 26 | [
"b26",
"b27"
] | 16,893,953 | pmid-10370234|pmid-11984561 | On the other hand, the BioCyc Omics Viewer allows omics data to be projected on a pathway map of the entire cell, for a broader view yet, with the ability to zoom in to see omics data on individual pathways or clusters of pathways. | [
"26",
"27"
] | 231 | 4,074 | 0 | false | On the other hand, the BioCyc Omics Viewer allows omics data to be projected on a pathway map of the entire cell, for a broader view yet, with the ability to zoom in to see omics data on individual pathways or clusters of pathways. | [] | On the other hand, the BioCyc Omics Viewer allows omics data to be projected on a pathway map of the entire cell, for a broader view yet, with the ability to zoom in to see omics data on individual pathways or clusters of pathways. | true | true | true | true | true | 691 |
16 | DISCUSSION | 1 | 26 | [
"b26",
"b27"
] | 16,893,953 | pmid-10370234|pmid-11984561 | It is not clear that either ontology is better suited to this task. | [
"26",
"27"
] | 67 | 4,075 | 0 | false | It is not clear that either ontology is better suited to this task. | [] | It is not clear that either ontology is better suited to this task. | true | true | true | true | true | 691 |
17 | DISCUSSION | 1 | 28 | [
"b28",
"b29",
"b30",
"b30",
"b31"
] | 16,893,953 | pmid-16556315|pmid-15993813|pmid-16234320|pmid-16234320|pmid-14641091 | Given the complementary strengths and weaknesses of pathway DBs discussed in this article, it may be that for certain applications, different pathway DBs will complement each other and should be combined. | [
"28",
"29",
"30",
"30",
"31"
] | 204 | 4,076 | 0 | false | Given the complementary strengths and weaknesses of pathway DBs discussed in this article, it may be that for certain applications, different pathway DBs will complement each other and should be combined. | [] | Given the complementary strengths and weaknesses of pathway DBs discussed in this article, it may be that for certain applications, different pathway DBs will complement each other and should be combined. | true | true | true | true | true | 692 |
17 | DISCUSSION | 1 | 28 | [
"b28",
"b29",
"b30",
"b30",
"b31"
] | 16,893,953 | pmid-16556315|pmid-15993813|pmid-16234320|pmid-16234320|pmid-14641091 | Three projects that would support such complementation are BioWarehouse (28), which allows BioCyc and KEGG to be loaded side-by-side into a single relational DB system; BioPAX, a single format into which both BioCyc and KEGG can be converted (29,30); and SBML, another common data format for systems biology (30,31). | [
"28",
"29",
"30",
"30",
"31"
] | 316 | 4,077 | 1 | false | Three projects that would support such complementation are BioWarehouse, which allows BioCyc and KEGG to be loaded side-by-side into a single relational DB system; BioPAX, a single format into which both BioCyc and KEGG can be converted ; and SBML, another common data format for systems biology. | [
"28",
"29,30",
"30,31"
] | Three projects that would support such complementation are BioWarehouse, which allows BioCyc and KEGG to be loaded side-by-side into a single relational DB system; BioPAX, a single format into which both BioCyc and KEGG can be converted ; and SBML, another common data format for systems biology. | true | true | true | true | true | 692 |
18 | DISCUSSION | 0 | null | null | 16,893,953 | null | We cannot say for certain that there does not exist some functional relationship between genes in the same KEGG pathway, but not in the same BioCyc pathway, that remains undetected using genome context methods. | null | 210 | 4,078 | 0 | false | null | null | We cannot say for certain that there does not exist some functional relationship between genes in the same KEGG pathway, but not in the same BioCyc pathway, that remains undetected using genome context methods. | true | true | true | true | true | 693 |
18 | DISCUSSION | 0 | null | null | 16,893,953 | null | However, the bulk of available evidence suggests a tighter functional cohesiveness among genes within BioCyc than KEGG pathways. | null | 128 | 4,079 | 0 | false | null | null | However, the bulk of available evidence suggests a tighter functional cohesiveness among genes within BioCyc than KEGG pathways. | true | true | true | true | true | 693 |
19 | DISCUSSION | 0 | null | null | 16,893,953 | null | ‘Membership in the same metabolic pathway’ carries with it implications for regulatory and evolutionary relationships. | null | 118 | 4,080 | 0 | false | null | null | ‘Membership in the same metabolic pathway’ carries with it implications for regulatory and evolutionary relationships. | false | false | true | true | false | 694 |
19 | DISCUSSION | 0 | null | null | 16,893,953 | null | Our results suggest that the extent to which these relationships hold can be impacted by the demarcation of the pathways themselves. | null | 132 | 4,081 | 0 | false | null | null | Our results suggest that the extent to which these relationships hold can be impacted by the demarcation of the pathways themselves. | true | true | true | true | true | 694 |
19 | DISCUSSION | 0 | null | null | 16,893,953 | null | Despite its limitations, the results from our analysis warrant more rigorous consideration of the types of relationships and degrees of relatedness predicted by methods developed using the variety of available metabolic pathway databases. | null | 238 | 4,082 | 0 | false | null | null | Despite its limitations, the results from our analysis warrant more rigorous consideration of the types of relationships and degrees of relatedness predicted by methods developed using the variety of available metabolic pathway databases. | true | true | true | true | true | 694 |
0 | INTRODUCTION | 1 | 1 | [
"b1",
"b2",
"b3",
"b4",
"b5"
] | 17,065,465 | pmid-16064053|pmid-12429695|pmid-16439620|pmid-16208317|pmid-16026181 | Influenza virus (IV) is the causative agent of several serious influenza pandemics (1). | [
"1",
"2",
"3",
"4",
"5"
] | 87 | 4,083 | 1 | false | Influenza virus (IV) is the causative agent of several serious influenza pandemics. | [
"1"
] | Influenza virus (IV) is the causative agent of several serious influenza pandemics. | true | true | true | true | true | 695 |
0 | INTRODUCTION | 1 | 1 | [
"b1",
"b2",
"b3",
"b4",
"b5"
] | 17,065,465 | pmid-16064053|pmid-12429695|pmid-16439620|pmid-16208317|pmid-16026181 | Recently, a highly pathogenic avian influenza virus (AIV; H5N1) has resulted in the death of more than 100 people and the slaughter of millions of poultry in Asia, Europe and Africa (World Health Organization, ). | [
"1",
"2",
"3",
"4",
"5"
] | 212 | 4,084 | 0 | false | Recently, a highly pathogenic avian influenza virus has resulted in the death of more than 100 people and the slaughter of millions of poultry in Asia, Europe and Africa (World Health Organization, ). | [
"AIV; H5N1"
] | Recently, a highly pathogenic avian influenza virus has resulted in the death of more than 100 people and the slaughter of millions of poultry in Asia, Europe and Africa (World Health Organization, ). | true | true | true | true | true | 695 |
0 | INTRODUCTION | 1 | 1 | [
"b1",
"b2",
"b3",
"b4",
"b5"
] | 17,065,465 | pmid-16064053|pmid-12429695|pmid-16439620|pmid-16208317|pmid-16026181 | Scrupulous surveillance and multidisciplinary interrogation of the viral migration patterns and evolution are crucial for preventing further casualties of humans and domestic poultry. | [
"1",
"2",
"3",
"4",
"5"
] | 183 | 4,085 | 0 | false | Scrupulous surveillance and multidisciplinary interrogation of the viral migration patterns and evolution are crucial for preventing further casualties of humans and domestic poultry. | [] | Scrupulous surveillance and multidisciplinary interrogation of the viral migration patterns and evolution are crucial for preventing further casualties of humans and domestic poultry. | true | true | true | true | true | 695 |
0 | INTRODUCTION | 1 | 1 | [
"b1",
"b2",
"b3",
"b4",
"b5"
] | 17,065,465 | pmid-16064053|pmid-12429695|pmid-16439620|pmid-16208317|pmid-16026181 | Viral genome sequences provide essential information for understanding pathogenesis, diagnosis, and therapy of the virus. | [
"1",
"2",
"3",
"4",
"5"
] | 121 | 4,086 | 0 | false | Viral genome sequences provide essential information for understanding pathogenesis, diagnosis, and therapy of the virus. | [] | Viral genome sequences provide essential information for understanding pathogenesis, diagnosis, and therapy of the virus. | true | true | true | true | true | 695 |
0 | INTRODUCTION | 1 | 2 | [
"b1",
"b2",
"b3",
"b4",
"b5"
] | 17,065,465 | pmid-16064053|pmid-12429695|pmid-16439620|pmid-16208317|pmid-16026181 | Since the IV genome mutates very fast from host to host and from year to year, tracing IV lineages and discovering the pattern of sequence variation provide a solid foundation for evolutionary and functional studies (2). | [
"1",
"2",
"3",
"4",
"5"
] | 220 | 4,087 | 1 | false | Since the IV genome mutates very fast from host to host and from year to year, tracing IV lineages and discovering the pattern of sequence variation provide a solid foundation for evolutionary and functional studies. | [
"2"
] | Since the IV genome mutates very fast from host to host and from year to year, tracing IV lineages and discovering the pattern of sequence variation provide a solid foundation for evolutionary and functional studies. | true | true | true | true | true | 695 |
0 | INTRODUCTION | 1 | 3 | [
"b1",
"b2",
"b3",
"b4",
"b5"
] | 17,065,465 | pmid-16064053|pmid-12429695|pmid-16439620|pmid-16208317|pmid-16026181 | Genome-wide sequence analyses of IV have demonstrated various genotypes and proteotypes (3) and revealed multiple lineages and genetic re-assortment among viruses (4,5). | [
"1",
"2",
"3",
"4",
"5"
] | 169 | 4,088 | 1 | false | Genome-wide sequence analyses of IV have demonstrated various genotypes and proteotypes and revealed multiple lineages and genetic re-assortment among viruses. | [
"3",
"4,5"
] | Genome-wide sequence analyses of IV have demonstrated various genotypes and proteotypes and revealed multiple lineages and genetic re-assortment among viruses. | true | true | true | true | true | 695 |
1 | INTRODUCTION | 1 | 6 | [
"b6",
"b7",
"b8",
"b9",
"b10"
] | 17,065,465 | pmid-10484749|pmid-15241415|pmid-16007072|pmid-16306617|pmid-16000410 | The Beijing Institute of Genomics (BIG) has been sequencing IVs collected by scientists from different institutions from different parts of China. | [
"6",
"7",
"8",
"9",
"10"
] | 146 | 4,089 | 0 | false | The Beijing Institute of Genomics (BIG) has been sequencing IVs collected by scientists from different institutions from different parts of China. | [] | The Beijing Institute of Genomics (BIG) has been sequencing IVs collected by scientists from different institutions from different parts of China. | true | true | true | true | true | 696 |
1 | INTRODUCTION | 1 | 6 | [
"b6",
"b7",
"b8",
"b9",
"b10"
] | 17,065,465 | pmid-10484749|pmid-15241415|pmid-16007072|pmid-16306617|pmid-16000410 | Since a highly pathogenic avian influenza A subtype H5N1 virus [A/Goose/Guangdong/1/96/(H5N1)] was initially isolated from China and subsequently identified as a precursor of the Hong Kong 1997 AIV (A/Hong Kong/156/97) (6), China, especially the southern provinces, became one of the major foci for viral surveillance. | [
"6",
"7",
"8",
"9",
"10"
] | 318 | 4,090 | 1 | false | Since a highly pathogenic avian influenza A subtype H5N1 virus was initially isolated from China and subsequently identified as a precursor of the Hong Kong 1997 AIV, China, especially the southern provinces, became one of the major foci for viral surveillance. | [
"A/Goose/Guangdong/1/96/(H5N1)",
"A/Hong Kong/156/97",
"6"
] | Since a highly pathogenic avian influenza A subtype H5N1 virus was initially isolated from China and subsequently identified as a precursor of the Hong Kong 1997 AIV, China, especially the southern provinces, became one of the major foci for viral surveillance. | true | true | true | true | true | 696 |
1 | INTRODUCTION | 1 | 7 | [
"b6",
"b7",
"b8",
"b9",
"b10"
] | 17,065,465 | pmid-10484749|pmid-15241415|pmid-16007072|pmid-16306617|pmid-16000410 | Phylogenetic analysis of all gene segments of H5N1 viruses isolated in China and other countries allowed us to trace the ecological and genetic origins of AIV (7) and the mechanism of its transmission to Southeast Asia, Europe and Africa (8). | [
"6",
"7",
"8",
"9",
"10"
] | 242 | 4,091 | 1 | false | Phylogenetic analysis of all gene segments of H5N1 viruses isolated in China and other countries allowed us to trace the ecological and genetic origins of AIV and the mechanism of its transmission to Southeast Asia, Europe and Africa. | [
"7",
"8"
] | Phylogenetic analysis of all gene segments of H5N1 viruses isolated in China and other countries allowed us to trace the ecological and genetic origins of AIV and the mechanism of its transmission to Southeast Asia, Europe and Africa. | true | true | true | true | true | 696 |
1 | INTRODUCTION | 1 | 6 | [
"b6",
"b7",
"b8",
"b9",
"b10"
] | 17,065,465 | pmid-10484749|pmid-15241415|pmid-16007072|pmid-16306617|pmid-16000410 | We have sequenced isolates of AIV subtype H5N1 from 1997 to 2005 in different hosts found in China, such as wild birds, poultry, water fowl and mammals. | [
"6",
"7",
"8",
"9",
"10"
] | 152 | 4,092 | 0 | false | We have sequenced isolates of AIV subtype H5N1 from 1997 to 2005 in different hosts found in China, such as wild birds, poultry, water fowl and mammals. | [] | We have sequenced isolates of AIV subtype H5N1 from 1997 to 2005 in different hosts found in China, such as wild birds, poultry, water fowl and mammals. | true | true | true | true | true | 696 |
1 | INTRODUCTION | 1 | 9 | [
"b6",
"b7",
"b8",
"b9",
"b10"
] | 17,065,465 | pmid-10484749|pmid-15241415|pmid-16007072|pmid-16306617|pmid-16000410 | Some of these strains have been published, such as those from tree sparrows in Henan Province in 2004 (9) and migratory birds in Qinghai Province in 2005 (10). | [
"6",
"7",
"8",
"9",
"10"
] | 159 | 4,093 | 1 | false | Some of these strains have been published, such as those from tree sparrows in Henan Province in 2004 and migratory birds in Qinghai Province in 2005. | [
"9",
"10"
] | Some of these strains have been published, such as those from tree sparrows in Henan Province in 2004 and migratory birds in Qinghai Province in 2005. | true | true | true | true | true | 696 |
2 | INTRODUCTION | 1 | 11 | [
"b11"
] | 17,065,465 | NA | Significant international efforts in sequencing viral isolates have been made worldwide, so the number of IV sequences has been rising rapidly in public resources, such as the Influenza Virus Resource () at the National Center for Biotechnology Information (NCBI) and the Influenza Sequence Database (ISD) at Los Alamos ... | [
"11"
] | 345 | 4,094 | 1 | false | Significant international efforts in sequencing viral isolates have been made worldwide, so the number of IV sequences has been rising rapidly in public resources, such as the Influenza Virus Resource () at the National Center for Biotechnology Information (NCBI) and the Influenza Sequence Database (ISD) at Los Alamos ... | [
"11"
] | Significant international efforts in sequencing viral isolates have been made worldwide, so the number of IV sequences has been rising rapidly in public resources, such as the Influenza Virus Resource () at the National Center for Biotechnology Information (NCBI) and the Influenza Sequence Database (ISD) at Los Alamos ... | true | true | true | true | true | 697 |
2 | INTRODUCTION | 1 | 11 | [
"b11"
] | 17,065,465 | NA | The NCBI Influenza Virus Resource presents data obtained from the NIAID (National Institute of Allergy and Infectious Diseases) | [
"11"
] | 127 | 4,095 | 0 | false | The NCBI Influenza Virus Resource presents data obtained from the NIAID (National Institute of Allergy and Infectious Diseases) | [] | The NCBI Influenza Virus Resource presents data obtained from the NIAID (National Institute of Allergy and Infectious Diseases) | true | true | false | true | false | 697 |
2 | INTRODUCTION | 1 | 11 | [
"b11"
] | 17,065,465 | NA | Influenza Genome Sequencing Project as well as from GenBank. | [
"11"
] | 60 | 4,096 | 0 | false | Influenza Genome Sequencing Project as well as from GenBank. | [] | Influenza Genome Sequencing Project as well as from GenBank. | true | true | true | true | true | 697 |
2 | INTRODUCTION | 1 | 11 | [
"b11"
] | 17,065,465 | NA | Since most of the IV sequences are direct submissions, there is a growing need to curate and corroborate the data in order to analyze them effectively. | [
"11"
] | 151 | 4,097 | 0 | false | Since most of the IV sequences are direct submissions, there is a growing need to curate and corroborate the data in order to analyze them effectively. | [] | Since most of the IV sequences are direct submissions, there is a growing need to curate and corroborate the data in order to analyze them effectively. | true | true | true | true | true | 697 |
2 | INTRODUCTION | 1 | 11 | [
"b11"
] | 17,065,465 | NA | ISD provides curated data, but it requires a subscription fee to obtain full access to the data and tools. | [
"11"
] | 106 | 4,098 | 0 | false | ISD provides curated data, but it requires a subscription fee to obtain full access to the data and tools. | [] | ISD provides curated data, but it requires a subscription fee to obtain full access to the data and tools. | true | true | true | true | true | 697 |
2 | INTRODUCTION | 1 | 11 | [
"b11"
] | 17,065,465 | NA | Therefore, to provide a central IV-specialized database, which curates IV sequences, integrates information, and provides free online tools for data analysis, is of great importance. | [
"11"
] | 182 | 4,099 | 0 | false | Therefore, to provide a central IV-specialized database, which curates IV sequences, integrates information, and provides free online tools for data analysis, is of great importance. | [] | Therefore, to provide a central IV-specialized database, which curates IV sequences, integrates information, and provides free online tools for data analysis, is of great importance. | true | true | true | true | true | 697 |
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