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Building comprehensive MS-friendly databases for proteomic analysis of bacterial species of unknown genetic background

ABSTRACT: Computational approach to build non-redundant protein databases for strains with unknown genomic background

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Mycobacterium Tuberculosis

SUBMITTER: Gustavo De Souza

LAB HEAD: Gustavo de Souza

PROVIDER: PXD011080 | Pride | 2019-11-12

REPOSITORIES: Pride

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			Action	DRS
	100415_Gustavo_Tuberculosis_179ctr_Rep1_01.RAW	Raw
	100415_Gustavo_Tuberculosis_179ctr_Rep1_02.RAW	Raw
	100415_Gustavo_Tuberculosis_179ctr_Rep1_03.RAW	Raw
	100415_Gustavo_Tuberculosis_179ctr_Rep1_04.RAW	Raw
	100415_Gustavo_Tuberculosis_179ctr_Rep1_05.RAW	Raw

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Publications

On the Impact of the Pangenome and Annotation Discrepancies While Building Protein Sequence Databases for Bacteria Proteogenomics.

Machado Karla C T KCT Fortuin Suereta S Tomazella Gisele Guicardi GG Fonseca Andre F AF Warren Robin Mark RM Wiker Harald G HG de Souza Sandro Jose SJ de Souza Gustavo Antonio GA

Frontiers in microbiology 20190620

In proteomics, peptide information within mass spectrometry (MS) data from a specific organism sample is routinely matched against a protein sequence database that best represent such organism. However, if the species/strain in the sample is unknown or genetically poorly characterized, it becomes challenging to determine a database which can represent such sample. Building customized protein sequence databases merging multiple strains for a given species has become a strategy to overcome such re ...[more]

PMID: 31281302

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