A multiscale statistical mechanical framework integrates biophysical and genomic data to assemble cancer networks
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A multiscale statistical mechanical framework integrates biophysical and genomic data to assemble cancer networks
Authors
Keywords
-
Journal
NATURE GENETICS
Volume 46, Issue 12, Pages 1363-1371
Publisher
Springer Nature
Online
2014-11-03
DOI
10.1038/ng.3138
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Increasing Urgency for Standards in Basic Biologic Research
- (2014) L. P. Freedman et al. CANCER RESEARCH
- Discovery and saturation analysis of cancer genes across 21 tumour types
- (2014) Michael S. Lawrence et al. NATURE
- Molecular physiology of the tensin brotherhood of integrin adaptor proteins
- (2014) Donald T. Haynie PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Phosphotyrosine Signaling Proteins that Drive Oncogenesis Tend to be Highly Interconnected
- (2013) Grigoriy Koytiger et al. MOLECULAR & CELLULAR PROTEOMICS
- Emerging patterns of somatic mutations in cancer
- (2013) Ian R. Watson et al. NATURE REVIEWS GENETICS
- Semi-Supervised Prediction of SH2-Peptide Interactions from Imbalanced High-Throughput Data
- (2013) Kousik Kundu et al. PLoS One
- Germinal centre protein HGAL promotes lymphoid hyperplasia and amyloidosis via BCR-mediated Syk activation
- (2013) Isabel Romero-Camarero et al. Nature Communications
- Comprehensive identification of mutational cancer driver genes across 12 tumor types
- (2013) David Tamborero et al. Scientific Reports
- The SH2 Domain Interaction Landscape
- (2013) Michele Tinti et al. Cell Reports
- Structure-based prediction of protein–protein interactions on a genome-wide scale
- (2012) Qiangfeng Cliff Zhang et al. NATURE
- TSGene: a web resource for tumor suppressor genes
- (2012) Min Zhao et al. NUCLEIC ACIDS RESEARCH
- STRING v9.1: protein-protein interaction networks, with increased coverage and integration
- (2012) Andrea Franceschini et al. NUCLEIC ACIDS RESEARCH
- Comprehensive Binary Interaction Mapping of SH2 Domains via Fluorescence Polarization Reveals Novel Functional Diversification of ErbB Receptors
- (2012) Ronald J. Hause et al. PLoS One
- High-throughput analysis of peptide-binding modules
- (2012) Bernard A. Liu et al. PROTEOMICS
- PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse
- (2011) P. V. Hornbeck et al. NUCLEIC ACIDS RESEARCH
- Direct inference of protein-DNA interactions using compressed sensing methods
- (2011) M. AlQuraishi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- SH2 Domains Recognize Contextual Peptide Sequence Information to Determine Selectivity
- (2010) Bernard A. Liu et al. MOLECULAR & CELLULAR PROTEOMICS
- COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
- (2010) S. A. Forbes et al. NUCLEIC ACIDS RESEARCH
- Crk and CrkL adaptor proteins: networks for physiological and pathological signaling
- (2009) Raymond B Birge et al. Cell Communication and Signaling
- PhosSNP for Systematic Analysis of Genetic Polymorphisms That Influence Protein Phosphorylation
- (2009) Jian Ren et al. MOLECULAR & CELLULAR PROTEOMICS
- Edgetic perturbation models of human inherited disorders
- (2009) Quan Zhong et al. Molecular Systems Biology
- Using genome-wide measurements for computational prediction of SH2–peptide interactions
- (2009) Zeba Wunderlich et al. NUCLEIC ACIDS RESEARCH
- Prediction of phosphotyrosine signaling networks using a scoring matrix-assisted ligand identification approach
- (2008) Lei Li et al. NUCLEIC ACIDS RESEARCH
- Linear Motif Atlas for Phosphorylation-Dependent Signaling
- (2008) M. L. Miller et al. Science Signaling
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started