Current challenges in software solutions for mass spectrometry-based quantitative proteomics. - Wikidata - awgldk - TriplyDB

Current challenges in software solutions for mass spectrometry-based quantitative proteomics.

Current challenges in software solutions for mass spectrometry-based quantitative proteomics.

http://www.wikidata.org/entity/Q36162392

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Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium The diverse and expanding role of mass spectrometry in structural and molecular biology PIQMIe: a web server for semi-quantitative proteomics data management and analysis Integrative biological analysis for neuropsychopharmacology Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view xTract: software for characterizing conformational changes of protein complexes by quantitative cross-linking mass spectrometry MASSyPup--an 'out of the box' solution for the analysis of mass spectrometry data.Heteromer score-using internal standards to assess the quality of proteomic data.Overview of software options for processing, analysis and interpretation of mass spectrometric proteomic data.In-depth evaluation of software tools for data-independent acquisition based label-free quantification.Ranking Fragment Ions Based on Outlier Detection for Improved Label-Free Quantification in Data-Independent Acquisition LC-MS/MS.Post-translational modifications of FDA-approved plasma biomarkers in glioblastoma samples.Processing strategies and software solutions for data-independent acquisition in mass spectrometry.A coherent mathematical characterization of isotope trace extraction, isotopic envelope extraction, and LC-MS correspondence.Warpgroup: increased precision of metabolomic data processing by consensus integration bound analysis Analysis of the Cerebrospinal Fluid Proteome in Alzheimer's Disease.Quantitation of endogenous peptides using mass spectrometry based methods.Comparative and Quantitative Global Proteomics Approaches: An Overview.Unraveling the different proteomic platforms.Contribution of proteomics to understanding the role of tumor-derived exosomes in cancer progression: state of the art and new perspectives.Proteomics for systems toxicology.Coupling enrichment methods with proteomics for understanding and treating disease.Dinosaur: A Refined Open-Source Peptide MS Feature Detector.Massifquant: open-source Kalman filter-based XC-MS isotope trace feature detection.Advances in plant proteomics toward improvement of crop productivity and stress resistancex.From global proteome profiling to single targeted molecules of follicular fluid and oocyte: contribution to embryo development and IVF outcome.Bioinformatics Resources for Interpreting Proteomics Mass Spectrometry Data.Approaches to identify kinase dependencies in cancer signalling networks.ProteoSign: an end-user online differential proteomics statistical analysis platform.Designing biomedical proteomics experiments: state-of-the-art and future perspectives.Comparative evaluation of label-free quantification methods for shotgun proteomics.Proteomic Profiling of Serial Prediagnostic Serum Samples for Early Detection of Colon Cancer in the U.S. Military.Proteomics to study DNA-bound and chromatin-associated gene regulatory complexes.Proteomics of Eosinophil Activation.Combining bioinformatics and MS-based proteomics: clinical implications.A combinatorial approach to the peptide feature matching problem for label-free quantification.A Proteomic Approach to Investigate the Drought Response in the Orphan Crop Eragrostis tef.Establishment of dimethyl labelling-based quantitative acetylproteomics in Arabidopsis.An algorithm to correct saturated mass spectrometry ion abundances for enhanced quantitation and mass accuracy in omic studies.PANDA-view: an easy-to-use tool for statistical analysis and visualization of quantitative proteomics data

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P2860

Current challenges in software solutions for mass spectrometry-based quantitative proteomics.

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Current challenges in software ...... based quantitative proteomics.

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Current challenges in software ...... based quantitative proteomics.

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Current challenges in software ...... based quantitative proteomics.

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Current challenges in software ...... based quantitative proteomics.

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Albert J R Heck

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Bas van Breukelen

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

Peter R Baker

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P2860

i-Tracker: for quantitative proteomics using iTRAQ.

A probability-based approach for high-throughput protein phosphorylation analysis and site localization

Significance analysis of microarrays applied to the ionizing radiation response

Accurate quantitation of protein expression and site-specific phosphorylation

Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS

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

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics

Quantitative analysis of complex protein mixtures using isotope-coded affinity tags

Mass spectrometry-based proteomics

A statistical model for identifying proteins by tandem mass spectrometry

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3

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Pedro R Cutillas

Salvatore Cappadona

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2012-07-22T00:00:00Z

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2012-09-01T00:00:00Z

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229437249

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22821268

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biomedical investigative technique

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3418498

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