Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.
about
Characterization of the rapamycin-sensitive phosphoproteome reveals that Sch9 is a central coordinator of protein synthesis.Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of viewQuantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cellslimma powers differential expression analyses for RNA-sequencing and microarray studiesA global approach to analysis and interpretation of metabolic data for plant natural product discovery.Overview of software options for processing, analysis and interpretation of mass spectrometric proteomic data.Software platform for rapidly creating computational tools for mass spectrometry-based proteomics.mspecLINE: bridging knowledge of human disease with the proteome.Strategies for quantitation of phosphoproteomic data.Combined statistical analyses of peptide intensities and peptide occurrences improves identification of significant peptides from MS-based proteomics data.The Protein Information and Property Explorer 2: gaggle-like exploration of biological proteomic data within one webpage.A blood-based proteomic classifier for the molecular characterization of pulmonary nodules.msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.Phosphoproteomic analysis reveals interconnected system-wide responses to perturbations of kinases and phosphatases in yeast.Absolute quantification of microbial proteomes at different states by directed mass spectrometryDetecting Significant Changes in Protein AbundanceFile formats commonly used in mass spectrometry proteomics.Halogenated peptides as internal standards (H-PINS): introduction of an MS-based internal standard set for liquid chromatography-mass spectrometry.Peek a peak: a glance at statistics for quantitative label-free proteomics.Less label, more free: approaches in label-free quantitative mass spectrometry.Tools for label-free peptide quantification.Transcriptomics and proteomics in stem cell research.Label-free quantification for discovering novel biomarkers in the diagnosis and assessment of disease activity in inflammatory bowel disease.Quantitative proteomic approaches in biomarker discovery of inflammatory bowel disease.Combined phospho- and glycoproteome enrichment in nephrocalcinosis tissues of phytate-fed rats.
P2860
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P2860
Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.
description
2008 nî lūn-bûn
@nan
2008 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Corra: Computational framework ...... spectrometry-based proteomics.
@ast
Corra: Computational framework ...... spectrometry-based proteomics.
@en
type
label
Corra: Computational framework ...... spectrometry-based proteomics.
@ast
Corra: Computational framework ...... spectrometry-based proteomics.
@en
prefLabel
Corra: Computational framework ...... spectrometry-based proteomics.
@ast
Corra: Computational framework ...... spectrometry-based proteomics.
@en
P2093
P2860
P356
P1433
P1476
Corra: Computational framework ...... spectrometry-based proteomics.
@en
P2093
Andrew Garbutt
Bernd Bodenmiller
David Campbell
Hollis Lau
James Eddes
Julian D Watts
Kelly Cooke
Lukas N Mueller
Mi-Youn Brusniak
Ning Zhang
P2860
P2888
P356
10.1186/1471-2105-9-542
P577
2008-12-16T00:00:00Z
P5875
P6179
1002302398