2015
DOI: 10.1038/nprot.2015.133
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Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0

Abstract: PatternLab for proteomics is an integrated computational environment that unifies several previously published modules for analyzing shotgun proteomic data. PatternLab contains modules for formatting sequence databases, performing peptide spectrum matching, statistically filtering and organizing shotgun proteomic data, extracting quantitative information from label-free and chemically labeled data, performing statistics for differential proteomics, displaying results in a variety of graphical formats, performi… Show more

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Cited by 217 publications
(167 citation statements)
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“…PatternLab’s isobaric analyzer module was employed for pinpointing differentially abundant proteins when comparing the profound tissue samples from the first and second surgery as described in our bioinformatics protocol (16). PatternLab’s Gene Ontology Explorer module (20) and (21) were used to help interpret the data.…”
Section: Methodsmentioning
confidence: 99%
“…PatternLab’s isobaric analyzer module was employed for pinpointing differentially abundant proteins when comparing the profound tissue samples from the first and second surgery as described in our bioinformatics protocol (16). PatternLab’s Gene Ontology Explorer module (20) and (21) were used to help interpret the data.…”
Section: Methodsmentioning
confidence: 99%
“…15 Briefly, identifications were grouped by charge state (+2 and ≥ +3) and then by tryptic status (fully tryptic, semitryptic), resulting in four distinct subgroups. 13 The advantage of NIAF is that its normalization process accounts for the protein size, thus penalizing proteins with more theoretical peptides. The identifications were sorted in nondecreasing order according to the discriminator score.…”
Section: Mass Spectra Data and Bioinformatics Analysismentioning
confidence: 99%
“…The peptides were subjected to LC-MS/MS analysis using a Thermo Scientific Easy-nLC 1000 ultra- The Comet 2015 rev. 2 search engine [24], which is embedded into PatternLab for proteomics 4.0 [25], was used to compare experimental tandem mass spectra against those theoretically generated from our sequence database and select the most likely peptide sequence candidate for each spectrum. Briefly, the search was limited to fully peptide candidates; we imposed carbamidomethylation of cysteine and oxidation of methionine as fixed and variable modification, respectively.…”
Section: Lc-ms/ms Acquisitionmentioning
confidence: 99%