Proper Citation: Computational Biology Center (RRID:SCR_002877)
Description: Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of: sequence-structure analysis; gene regulation; molecular pathways and networks, and diagnostic and prognostic indicators. The mission of cBio is to move the theoretical methods and genome-scale data resources of computational biology into everyday laboratory practice and use, and is reflected in the organization of cBio into research and service components ~ the intention being that new computational methods created through the process of scientific inquiry should be generalized and supported as open-source and shared community resources. Faculty from cBio participate in graduate training provided through the following graduate programs: * Gerstner Sloan-Kettering Graduate School of Biomedical Sciences * Graduate Training Program in Computational Biology and Medicine Integral to much of the research and service work performed by cBio is the creation and use of software tools and data resources. The tools that we have created and utilize provide evidence of our involvement in the following areas: * Cancer Genomics * Data Repositories * iPhone & iPod Touch * microRNAs * Pathways * Protein Function * Text Analysis * Transcription Profiling
Synonyms: cBio
Resource Type: data or information resource, training resource, portal, topical portal, disease-related portal
Keywords: drug, evolution, experiment, gene, algorithm, bioinformatics, biology, cancer, clinical, computational, diagnostic, genome, human, initiation, kinetics, laboratory, leukemia, ligand, metastasis, microrna, mirna, model, molecular, network, pathway, phenotype, prognostic, progression, protein, regulation, research, resistance, rna, sequence, stem cell, structure, t cell, therapy, treatment, tumor
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TMBETA-GENOME- Annotation of Beta-Barrel Membrane Proteins in Genomic Sequences |
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