The UCSC Interaction Browser: multidimensional data views in pathway context
暂无分享,去创建一个
David Haussler | Joshua M. Stuart | Stephen C. Benz | Charles J. Vaske | J. Zachary Sanborn | Christopher K. Wong | Sam Ng
[1] Yan Wang,et al. VisANT 3.5: multi-scale network visualization, analysis and inference based on the gene ontology , 2009, Nucleic Acids Res..
[2] Mary Goldman,et al. The UCSC cancer genomics browser: update 2011 , 2010, Nucleic Acids Res..
[3] Shoshana J. Wodak,et al. GenePro: a cytoscape plug-in for advanced visualization and analysis of interaction networks , 2006, Bioinform..
[4] Kenneth H. Buetow,et al. PID: the Pathway Interaction Database , 2008, Nucleic Acids Res..
[5] Damian Szklarczyk,et al. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored , 2010, Nucleic Acids Res..
[6] Adam A. Margolin,et al. The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity , 2012, Nature.
[7] Lincoln Stein,et al. Reactome: a knowledgebase of biological pathways , 2004, Nucleic Acids Res..
[8] W. J. Kent,et al. The UCSC Genome Browser , 2003, Current protocols in bioinformatics.
[9] Nuria Lopez-Bigas,et al. Visualizing multidimensional cancer genomics data , 2013, Genome Medicine.
[10] Mingming Jia,et al. COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer , 2010, Nucleic Acids Res..
[11] Christie S. Chang,et al. The BioGRID interaction database: 2013 update , 2012, Nucleic Acids Res..
[12] Casey S. Greene,et al. IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks , 2012, Nucleic Acids Res..
[13] Benjamin E. Gross,et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. , 2012, Cancer discovery.
[14] E. Lander,et al. Assessing the significance of chromosomal aberrations in cancer: Methodology and application to glioma , 2007, Proceedings of the National Academy of Sciences.
[15] Steven J. M. Jones,et al. Comprehensive molecular characterization of human colon and rectal cancer , 2012, Nature.
[16] David Haussler,et al. Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM , 2010, Bioinform..
[17] Paul A Clemons,et al. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease , 2006, Science.
[18] Mary Goldman,et al. The UCSC Cancer Genomics Browser: update 2015 , 2014, Nucleic Acids Res..
[19] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[20] Chris T. A. Evelo,et al. WikiPathways: building research communities on biological pathways , 2011, Nucleic Acids Res..
[21] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[22] Joshua M. Stuart,et al. Subtype and pathway specific responses to anticancer compounds in breast cancer , 2011, Proceedings of the National Academy of Sciences.
[23] G. S. Johnson,et al. An Information-Intensive Approach to the Molecular Pharmacology of Cancer , 1997, Science.
[24] Trey Ideker,et al. Cytoscape 2.8: new features for data integration and network visualization , 2010, Bioinform..