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"paper_id": "P01-1001",
"header": {
"generated_with": "S2ORC 1.0.0",
"date_generated": "2023-01-19T09:30:16.833894Z"
},
"title": "Interpreting the human genome sequence, using stochastic grammars",
"authors": [
{
"first": "Richard",
"middle": [],
"last": "Durbin",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "The Sanger Centre Wellcome Trust Genome",
"location": {
"addrLine": "Campus Hinxton",
"postCode": "CB10 1SA",
"settlement": "Cambridge",
"country": "UK"
}
},
"email": "rd@sanger.ac.uk"
}
],
"year": "",
"venue": null,
"identifiers": {},
"abstract": "The 3 billion base pair sequence of the human genome is now available, and attention is focusing on annotating it to extract biological meaning. I will discuss what we have obtained, and the methods that are being used to analyse biological sequences. In particular I will discuss approaches using stochastic grammars analogous to those used in computational linguistics, both for gene finding and protein family classification.",
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"paper_id": "P01-1001",
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"abstract": [
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"text": "The 3 billion base pair sequence of the human genome is now available, and attention is focusing on annotating it to extract biological meaning. I will discuss what we have obtained, and the methods that are being used to analyse biological sequences. In particular I will discuss approaches using stochastic grammars analogous to those used in computational linguistics, both for gene finding and protein family classification.",
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"section": "Abstract",
"sec_num": null
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}
} |