Journal
BIOINFORMATICS
Volume 21, Issue 16, Pages 3454-3455Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bti546
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Funding
- NHGRI NIH HHS [R01 HG002729] Funding Source: Medline
- 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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