Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data | Zendy

Alla Karnovsky | Zendy; Terry E. Weymouth | Zendy; Tim Hull | Zendy; V. Glenn Tarcea | Zendy; Giovanni Scardoni | Zendy; Carlo Laudanna | Zendy; Maureen A. Sartor | Zendy; Kathleen A. Stringer | Zendy; H. V. Jagadish | Zendy; Charles Burant | Zendy; Brian D. Athey | Zendy; Gilbert S. Omenn | Zendy

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Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data

Author(s) -

Alla Karnovsky,

Terry E. Weymouth,

Tim Hull,

V. Glenn Tarcea,

Giovanni Scardoni,

Carlo Laudanna,

Maureen A. Sartor,

Kathleen A. Stringer,

H. V. Jagadish,

Charles Burant,

Brian D. Athey,

Gilbert S. Omenn

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr661

Subject(s) - metabolomics , informatics , kegg , computational biology , computer science , health informatics tools , bioinformatics , data science , biology , transcriptome , gene , gene expression , genetics , electrical engineering , engineering

Metabolomics is a rapidly evolving field that holds promise to provide insights into genotype-phenotype relationships in cancers, diabetes and other complex diseases. One of the major informatics challenges is providing tools that link metabolite data with other types of high-throughput molecular data (e.g. transcriptomics, proteomics), and incorporate prior knowledge of pathways and molecular interactions.

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