2014
DOI: 10.1002/pmic.201300415
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MSDA, a proteomics software suite for in‐depth Mass Spectrometry Data Analysis using grid computing

Abstract: One of the major bottlenecks in the proteomics field today resides in the computational interpretation of the massive data generated by the latest generation of high-throughput MS instruments. MS/MS datasets are constantly increasing in size and complexity and it becomes challenging to comprehensively process such huge datasets and afterwards deduce most relevant biological information. The Mass Spectrometry Data Analysis (MSDA, https://msda.unistra.fr) online software suite provides a series of modules for in… Show more

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Cited by 56 publications
(58 citation statements)
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References 19 publications
(20 reference statements)
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“…Optional modifications were set as follows: carbamidomethylation of cysteine residues, oxidation of methionine residues, and acetylation of protein N-termini. Database generation, OMSSA searches and automatic extraction of protein functional annotations (gene ontologies) were performed using our home-made “Mass Spectrometry Data Analysis” software suite [64]. …”
Section: Methodsmentioning
confidence: 99%
“…Optional modifications were set as follows: carbamidomethylation of cysteine residues, oxidation of methionine residues, and acetylation of protein N-termini. Database generation, OMSSA searches and automatic extraction of protein functional annotations (gene ontologies) were performed using our home-made “Mass Spectrometry Data Analysis” software suite [64]. …”
Section: Methodsmentioning
confidence: 99%
“…A second round search was performed to identify Nt-acetyl peptides in position >2 and semi-specific internal peptides. The Recover module of MSDA37 was used to create a subset “mgf” files by removing all identified spectra from the first round search, spectra with no peak above the m/z ratio of the 1+ charged state precursor ion and spectra which did not include at least six peaks higher than 2 times the intensity of the background noise. The second round search was performed using enzyme semi-specificity (only one end of a peptide needs to match the cleavage specificity) and as previously described.…”
Section: Methodsmentioning
confidence: 99%
“…Searches were performed without any molecular weight or isoelectric point restrictions against an in-house generated protein database composed of all vertebrate protein sequences extracted from UniProtKB (Release-2014_02, TaxonomyID = 7742, 2,187,035 entries). The database was concatenated in-house using the Mass Spectrometry Data Analysis (MSDA) software suite (Carapito et al, 2014). Known contaminant proteins such as human keratins and porcine trypsin were included in this vertebrate database and therefore only reversed copies of all sequences were added to obtain a target-decoy database of 4,374,070 entries (Elias & Gygi, 2010).…”
Section: Data Interpretation and Protein Identificationmentioning
confidence: 99%