Quantitative genetic-interaction mapping in mammalian cells. - Test2 - elhamkhani - TriplyDB

Quantitative genetic-interaction mapping in mammalian cells.

Quantitative genetic-interaction mapping in mammalian cells.

http://www.wikidata.org/entity/Q36811345

about

Mitochondrial targets for pharmacological intervention in human disease Comparing protein folding in vitro and in vivo: foldability meets the fitness challenge Predicting human genetic interactions from cancer genome evolution Big data mining powers fungal research: recent advances in fission yeast systems biology approaches.Functional genomics platform for pooled screening and generation of mammalian genetic interaction maps.High-resolution network biology: connecting sequence with function.A strategy to apply quantitative epistasis analysis on developmental traits Evolutionarily conserved genetic interactions with budding and fission yeast MutS identify orthologous relationships in mismatch repair-deficient cancer cells.A map of directional genetic interactions in a metazoan cell.Integrated platform for genome-wide screening and construction of high-density genetic interaction maps in mammalian cells.Quantitative analysis of triple-mutant genetic interactions iMAD, a genetic screening strategy for dissecting complex interactions between a pathogen and its host.Targeting Human Long Noncoding Transcripts by Endoribonuclease-Prepared siRNAs.Quantitative Fitness Analysis Identifies exo1∆ and Other Suppressors or Enhancers of Telomere Defects in Schizosaccharomyces pombe.A genetic interaction map of cell cycle regulators.Functional characterisation of long intergenic non-coding RNAs through genetic interaction profiling in Saccharomyces cerevisiae.Synergistic drug combinations for cancer identified in a CRISPR screen for pairwise genetic interactions Systematic triple-mutant analysis uncovers functional connectivity between pathways involved in chromosome regulation.A negative genetic interaction map in isogenic cancer cell lines reveals cancer cell vulnerabilities Genotype to phenotype via network analysis.A Cas9 Ribonucleoprotein Platform for Functional Genetic Studies of HIV-Host Interactions in Primary Human T Cells.The cancer cell map initiative: defining the hallmark networks of cancer.Single-cell and multivariate approaches in genetic perturbation screens.Cell-based screens and phenomics with fission yeast.Epistasis in genomic and survival data of cancer patients.Genetic interaction mapping in mammalian cells using CRISPR interference.A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.High content analysis in amyotrophic lateral sclerosis.Genetic and Proteomic Interrogation of Lower Confidence Candidate Genes Reveals Signaling Networks in β-Catenin-Active Cancers.Systems Analyses Reveal Shared and Diverse Attributes of Oct4 Regulation in Pluripotent Cells.From structure to systems: high-resolution, quantitative genetic analysis of RNA polymerase II.Genetic interaction analysis of point mutations enables interrogation of gene function at a residue-level resolution: exploring the applications of high-resolution genetic interaction mapping of point mutations Systematic epistatic mapping of cellular processes.Learning directed acyclic graphs from large-scale genomics data.Orthologous CRISPR-Cas9 enzymes for combinatorial genetic screens.Dual gene activation and knockout screen reveals directional dependencies in genetic networks.Measuring genetic interactions in human cells by RNAi and imaging.

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P2860

Quantitative genetic-interaction mapping in mammalian cells.

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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2013年论文

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2013年论文

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name

Quantitative genetic-interaction mapping in mammalian cells.

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Quantitative genetic-interaction mapping in mammalian cells.

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type

label

Quantitative genetic-interaction mapping in mammalian cells.

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Quantitative genetic-interaction mapping in mammalian cells.

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prefLabel

Quantitative genetic-interaction mapping in mammalian cells.

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Quantitative genetic-interaction mapping in mammalian cells.

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Quantitative genetic-interaction mapping in mammalian cells.

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P2093

Assen Roguev

http://www.w3.org/2001/XMLSchema#string

Barbara Panning

http://www.w3.org/2001/XMLSchema#string

Dale Talbot

http://www.w3.org/2001/XMLSchema#string

Gian Luca Negri

http://www.w3.org/2001/XMLSchema#string

Michael Shales

http://www.w3.org/2001/XMLSchema#string

Nevan J Krogan

http://www.w3.org/2001/XMLSchema#string

Sourav Bandyopadhyay

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P2860

A genome-scale RNAi screen for Oct4 modulators defines a role of the Paf1 complex for embryonic stem cell identity

Nucleolar localization of the Werner syndrome protein in human cells

Human Ccr4-Not complexes contain variable deadenylase subunits

Genomic screening with RNAi: results and challenges

Preventing re-replication of chromosomal DNA.

RNA polymerase II elongation factors of Saccharomyces cerevisiae: a targeted proteomics approach

Hierarchical modularity and the evolution of genetic interactomes across species.

A genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing

Global mapping of the yeast genetic interaction network.

Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile.

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10.1038/NMETH.2398

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5

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10

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1010355761

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3641890

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