Author: Chris Sander

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Preprints

Comparing cancer cell lines and tumor samples by genomic profiles

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Discovery and characterization of coding and non-coding driver mutations in more than 2,500 whole cancer genomes

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Mitochondrial DNA Copy Number Variation Across Human Cancers

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EVfold.org: Evolutionary Couplings and Protein 3D Structure Prediction

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Sequence co-evolution gives 3D contacts and structures of protein complexes

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MatchMiner: An open source computational platform for real-time matching of cancer patients to precision medicine clinical trials using genomic and clinical criteria

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Accelerating Protein Design Using Autoregressive Generative Models

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Protein Domain Hotspots Reveal Functional Mutations across Genes in Cancer

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Rapid proteotyping reveals cancer biology and drug response determinants in the NCI-60 cells

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Interpretable Machine Learning for Perturbation Biology

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3D protein structure from genetic epistasis experiments

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Causal interactions from proteomic profiles: molecular data meets pathway knowledge

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Perturbation biology models predict c-Myc as an effective co-target in RAF inhibitor resistant melanoma cells

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Extensive Decoupling of Metabolic Genes in Cancer

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Systematic identification of cancer driving signaling pathways based on mutual exclusivity of genomic alterations

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Protein structure from experimental evolution

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Cancer-associated recurrent mutations in RNase III domains of DICER1

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Integrative analysis of pharmacogenomics in major cancer cell line databases using CellMinerCDB

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Protein Profiling In Cancer Cell Lines And Tumor Tissue Using Reverse Phase Protein Arrays

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Perturbation biology links temporal protein changes to drug responses in a melanoma cell line

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Accurate prediction of transmembrane β-barrel proteins from sequences

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The EVcouplings Python framework for coevolutionary sequence analysis

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PaxtoolsR: Pathway Analysis in R Using Pathway Commons

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AlignmentViewer: Sequence Analysis of Large Protein Families

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3D RNA from evolutionary couplings

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Adaptive response to BET inhibition induces therapeutic vulnerability to MCL1 inhibitors in breast cancer

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Pathway Commons: 2019 Update

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