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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

ROCS: a reproducibility index and confidence score for interaction proteomics studies.

http://www.wikidata.org/entity/Q34298255

about

SILAC-iPAC: a quantitative method for distinguishing genuine from non-specific components of protein complexes by parallel affinity capture.Computational framework for analysis of prey-prey associations in interaction proteomics identifies novel human protein-protein interactions and networks Opportunities for protein interaction network-guided cellular engineering.A Protein Interaction between β-Catenin and Dnmt1 Regulates Wnt Signaling and DNA Methylation in Colorectal Cancer Cells.Discovery of cell compartment specific protein-protein interactions using affinity purification combined with tandem mass spectrometry.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

http://www.wikidata.org/entity/Q34298255

description

2012 nî lūn-bûn

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2012 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2012 թվականի հունիսին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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name

ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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BMC Bioinformatics

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ROCS: a reproducibility index and confidence score for interaction proteomics studies.

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Jean-Eudes Dazard

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Sudipto Saha

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Semantic similarity in biomedical ontologies

Functional organization of the yeast proteome by systematic analysis of protein complexes

Defining the human deubiquitinating enzyme interaction landscape

Large-scale mapping of human protein-protein interactions by mass spectrometry

Probability-based protein identification by searching sequence databases using mass spectrometry data

Proteome survey reveals modularity of the yeast cell machinery.

Global landscape of protein complexes in the yeast Saccharomyces cerevisiae.

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search

Assessing bias in experiment design for large scale mass spectrometry-based quantitative proteomics

The IntAct molecular interaction database in 2010

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128

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Jean-Eudes Dazard

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reproducibility

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