Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
about
Classification of intrinsically disordered regions and proteinsThe development and application of a quantitative peptide microarray based approach to protein interaction domain specificity spaceUsing large-scale genomics data to identify driver mutations in lung cancer: methods and challengesHistone-modifying enzymes, histone modifications and histone chaperones in nucleosome assembly: Lessons learned from Rtt109 histone acetyltransferasesPhosphoSitePlus, 2014: mutations, PTMs and recalibrationsEvolutionary constraint and disease associations of post-translational modification sites in human genomesA Pan-Cancer Catalogue of Cancer Driver Protein Interaction InterfacesReproducible Analysis of Post-Translational Modifications in Proteomes--Application to Human MutationsComputational Identification of Novel Stage-Specific Biomarkers in Colorectal Cancer ProgressionGain- and Loss-of-Function Mutations in the Breast Cancer Gene GATA3 Result in Differential Drug SensitivityTurnover of protein phosphorylation evolving under stabilizing selectionPathway and network analysis of cancer genomesComprehensive identification of mutational cancer driver genes across 12 tumor types.Molecular interaction networks in the analyses of sequence variation and proteomics data.Statistically identifying tumor suppressors and oncogenes from pan-cancer genome-sequencing dataELM 2016--data update and new functionality of the eukaryotic linear motif resource.An NGS Workflow Blueprint for DNA Sequencing Data and Its Application in Individualized Molecular Oncology.Neighbours of cancer-related proteins have key influence on pathogenesis and could increase the drug target space for anticancer therapiesToward a systematic understanding of cancers: a survey of the pan-cancer studyDOTS-Finder: a comprehensive tool for assessing driver genes in cancer genomes.Bioinformatics study of cancer-related mutations within p53 phosphorylation site motifsExpanding the computational toolbox for mining cancer genomes.FunSeq2: a framework for prioritizing noncoding regulatory variants in cancerIntegrating phosphoproteomics in systems biology.Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach.MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysisVariation Interpretation Predictors: Principles, Types, Performance, and Choice.Structure-based predictions broadly link transcription factor mutations to gene expression changes in cancers.Single nucleotide variations: biological impact and theoretical interpretation.Analysis of candidate genes has proposed the role of y chromosome in human prostate cancer.Prediction and prioritization of rare oncogenic mutations in the cancer Kinome using novel features and multiple classifiersComparative Analysis of Prostate Cancer Gene Regulatory Networks via Hub Type Variation.SomInaClust: detection of cancer genes based on somatic mutation patterns of inactivation and clustering.Computational methods and resources for the interpretation of genomic variants in cancerAn improved understanding of cancer genomics through massively parallel sequencing.Integrated genomics approach to identify biologically relevant alterations in fewer samplesStructure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfacesg:Profiler-a web server for functional interpretation of gene lists (2016 update)Challenges in identifying cancer genes by analysis of exome sequencing data.Systematic analysis of somatic mutations impacting gene expression in 12 tumour types.
P2860
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P2860
Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Systematic analysis of somatic ...... predicts novel cancer drivers
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Systematic analysis of somatic ...... predicts novel cancer drivers
@en
Systematic analysis of somatic ...... predicts novel cancer drivers
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type
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Systematic analysis of somatic ...... predicts novel cancer drivers
@ast
Systematic analysis of somatic ...... predicts novel cancer drivers
@en
Systematic analysis of somatic ...... predicts novel cancer drivers
@nl
prefLabel
Systematic analysis of somatic ...... predicts novel cancer drivers
@ast
Systematic analysis of somatic ...... predicts novel cancer drivers
@en
Systematic analysis of somatic ...... predicts novel cancer drivers
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P2860
P356
P1476
Systematic analysis of somatic ...... predicts novel cancer drivers
@en
P2860
P356
10.1038/MSB.2012.68
P577
2013-01-01T00:00:00Z