Getting started in computational mass spectrometry-based proteomics - Test2 - elhamkhani - TriplyDB

Getting started in computational mass spectrometry-based proteomics

Getting started in computational mass spectrometry-based proteomics

http://www.wikidata.org/entity/Q28754735

about

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Minireview: progress and challenges in proteomics data management, sharing, and integration Protein disulfide topology determination through the fusion of mass spectrometric analysis and sequence-based prediction using Dempster-Shafer theory.A guided tour of the Trans-Proteomic Pipeline iProphet: multi-level integrative analysis of shotgun proteomic data improves peptide and protein identification rates and error estimates Pathway and network analysis in proteomics Detecting Significant Changes in Protein Abundance Context-sensitive markov models for peptide scoring and identification from tandem mass spectrometry.A systems biology-led insight into the role of the proteome in neurodegenerative diseases.Statistical inference from multiple iTRAQ experiments without using common reference standards.

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Getting started in computational mass spectrometry-based proteomics

http://www.wikidata.org/entity/Q28754735

description

2009 nî lūn-bûn

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2009 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2009 թվականի մայիսին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

@zh-hk

2009年論文

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2009年論文

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2009年论文

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name

Getting started in computational mass spectrometry-based proteomics

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Getting started in computational mass spectrometry-based proteomics

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Getting started in computational mass spectrometry-based proteomics

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type

label

Getting started in computational mass spectrometry-based proteomics

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Getting started in computational mass spectrometry-based proteomics

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Getting started in computational mass spectrometry-based proteomics

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Getting started in computational mass spectrometry-based proteomics

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Getting started in computational mass spectrometry-based proteomics

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Getting started in computational mass spectrometry-based proteomics

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JOURNAL.PCBI.1000366

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PLOS Computational Biology

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Getting started in computational mass spectrometry-based proteomics

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Olga Vitek

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Network-based prediction of protein function

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

Mass spectrometry-based proteomics

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

Advancement in protein inference from shotgun proteomics using peptide detectability

Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry

Proteomic analysis of post-translational modifications

Interpretation of shotgun proteomic data: the protein inference problem.

Analysis and validation of proteomic data generated by tandem mass spectrometry.

An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data.

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e1000366

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scholarly article

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10.1371/JOURNAL.PCBI.1000366

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5

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