4.7 Article

Querying and computing with BioCyc databases

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BIOINFORMATICS
卷 21, 期 16, 页码 3454-3455

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bti546

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资金

  1. NHGRI NIH HHS [R01 HG002729] Funding Source: Medline
  2. NIGMS NIH HHS [R33 GM070065, GM70065, GM75742] Funding Source: Medline

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We describe multiple methods for accessing and querying the complex and integrated cellular data in the BioCyc family of databases: access through multiple file formats, access through Application Program Interfaces (APIs) for LISP, Perl and Java, and SQL access through the BioWarehouse relational database.

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