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Protein and gene model inference based on statistical modeling in k-partite graphs

Protein and gene model inference based on statistical modeling in k-partite graphs

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1073_pnas_0907654107

Protein and gene model inference based on statistical modeling in k-partite graphs

About this item

Full title

Protein and gene model inference based on statistical modeling in k-partite graphs

Publisher

United States: National Academy of Sciences

Journal title

Proceedings of the National Academy of Sciences - PNAS, 2010-07, Vol.107 (27), p.12101-12106

Language

English

Formats

Publication information

Publisher

United States: National Academy of Sciences

More information

Scope and Contents

Contents

One of the major goals of proteomics is the comprehensive and accurate description of a proteome. Shotgun proteomics, the method of choice for the analysis of complex protein mixtures, requires that experimentally observed peptides are mapped back to the proteins they were derived from. This process is also known as protein inference. We present Ma...

Alternative Titles

Full title

Protein and gene model inference based on statistical modeling in k-partite graphs

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1073_pnas_0907654107

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1073_pnas_0907654107

Other Identifiers

ISSN

0027-8424

E-ISSN

1091-6490

DOI

10.1073/pnas.0907654107

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