SEED servers: high-performance access to the SEED genomes, annotations, and metabolic models.

Aziz, Ramy K; Devoid, Scott; Disz, Terrence; Edwards, Robert A; Henry, Christopher S; Olsen, Gary J; Olson, Robert; Overbeek, Ross; Parrello, Bruce; Pusch, Gordon D; Stevens, Rick L; Vonstein, Veronika; Xia, Fangfang

Aziz, Ramy K; Devoid, Scott; Disz, Terrence; Edwards, Robert A; Henry, Christopher S; Olsen, Gary J; Olson, Robert; Overbeek, Ross; Parrello, Bruce; Pusch, Gordon D; Stevens, Rick L; Vonstein, Veronika; Xia, Fangfang.

Affiliation

Aziz RK; Computation Institute, University of Chicago, Chicago, Illinois, United States of America. ramy.aziz@gmail.com

PLoS One ; 7(10): e48053, 2012.

Article in En | MEDLINE | ID: mdl-23110173

Subject(s)

Computational Biology/methods; Databases, Factual/statistics & numerical data; Information Storage and Retrieval/methods; Software; Escherichia coli/genetics; Escherichia coli/metabolism; Genomics/methods; Genomics/statistics & numerical data; Internet; Metabolomics/methods; Metabolomics/statistics & numerical data; Molecular Sequence Annotation/methods; Molecular Sequence Annotation/statistics & numerical data; Reproducibility of Results

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Databases, Factual / Information Storage and Retrieval / Computational Biology Type of study: Prognostic_studies Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2012 Document type: Article Affiliation country: United States Country of publication: United States

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