Querying and computing with BioCyc databases

被引:51
作者
Krummenacker, M
Paley, S
Mueller, L
Yan, T
Karp, PD
机构
[1] SRI Int, Bioinformat Res Grp, Menlo Pk, CA 94025 USA
[2] Cornell Univ, Dept Genet & Plant Breeding, Ithaca, NY 14853 USA
[3] Carnegie Inst Washington, Dept Plant Biol, Stanford, CA 94305 USA
关键词
D O I
10.1093/bioinformatics/bti546
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:3454 / 3455
页数:2
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