A tool for integrating genetic and mass spectrometry-based peptide data: proteogenomics viewer: PV: a genome browser-like tool, which includes MS data visualization and peptide identification parameters

Kroll, José Eduardo; Silva, Vandeclecio Lira da; Souza, Sandro José de; Souza, Gustavo Antonio de

Use este identificador para citar ou linkar para este item: https://repositorio.ufrn.br/handle/123456789/23831

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Campo DC	Valor	Idioma
dc.contributor.author	Kroll, José Eduardo	-
dc.contributor.author	Silva, Vandeclecio Lira da	-
dc.contributor.author	Souza, Sandro José de	-
dc.contributor.author	Souza, Gustavo Antonio de	-
dc.date.accessioned	2017-09-11T17:08:26Z	-
dc.date.issued	2017-07	-
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/23831	-
dc.language	eng	pt_BR
dc.publisher	Wiley	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	alternative splicing events	pt_BR
dc.subject	genome browser	pt_BR
dc.subject	mass spectrometry	pt_BR
dc.subject	peptide identification	pt_BR
dc.subject	proteogenomics	pt_BR
dc.title	A tool for integrating genetic and mass spectrometry-based peptide data: proteogenomics viewer: PV: a genome browser-like tool, which includes MS data visualization and peptide identification parameters	pt_BR
dc.type	article	pt_BR
dc.identifier.doi	10.1002/bies.201700015	-
dc.description.resumo	In this manuscript we describe Proteogenomics Viewer, a web-based tool that collects MS peptide identification, indexes to genomic sequence and structure, assigns exon usage, reports the identified protein isoforms with genomic alignments and, most importantly, allows the inspection of MS2 information for proper peptide identification. It also provides all performed indexing to facilitate global analysis of the data. The relevance of such tool is that there has been an increase in the number of proteogenomic efforts to improve the annotation of both genomics and proteomics data, culminating with the release of the two human proteome drafts. It is now clear that mass spectrometry-based peptide identification of uncharacterized sequences, such as those resulting from unpredicted exon joints or non-coding regions, is still prone to a higher than expected false discovery rate. Therefore, proper visualization of the raw data and the corresponding genome alignments are fundamental for further data validation and interpretation.	pt_BR
dc.description.embargo	2020-12	-
Aparece nas coleções:	ICe - Artigos publicados em periódicos

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