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VisANT 3.0: new modules for pathway visualization, editing, prediction and construction.
Hu, Zhenjun; Ng, David M; Yamada, Takuji; Chen, Chunnuan; Kawashima, Shuichi; Mellor, Joe; Linghu, Bolan; Kanehisa, Minoru; Stuart, Joshua M; DeLisi, Charles.
Afiliação
  • Hu Z; Center for Advanced Genomic Technology, Boston University, Boston, MA 02215, USA.
Nucleic Acids Res ; 35(Web Server issue): W625-32, 2007 Jul.
Article em En | MEDLINE | ID: mdl-17586824
ABSTRACT
With the integration of the KEGG and Predictome databases as well as two search engines for coexpressed genes/proteins using data sets obtained from the Stanford Microarray Database (SMD) and Gene Expression Omnibus (GEO) database, VisANT 3.0 supports exploratory pathway analysis, which includes multi-scale visualization of multiple pathways, editing and annotating pathways using a KEGG compatible visual notation and visualization of expression data in the context of pathways. Expression levels are represented either by color intensity or by nodes with an embedded expression profile. Multiple experiments can be navigated or animated. Known KEGG pathways can be enriched by querying either coexpressed components of known pathway members or proteins with known physical interactions. Predicted pathways for genes/proteins with unknown functions can be inferred from coexpression or physical interaction data. Pathways produced in VisANT can be saved as computer-readable XML format (VisML), graphic images or high-resolution Scalable Vector Graphics (SVG). Pathways in the format of VisML can be securely shared within an interested group or published online using a simple Web link. VisANT is freely available at http//visant.bu.edu.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Software / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2007 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Software / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2007 Tipo de documento: Article