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