PeptideMapper: efficient and versatile amino acid sequence and tag mapping

Dominik Kopczynski; Harald Barsnes; Pål R Njølstad; Albert Sickmann; Marc Vaudel; Robert Ahrends

doi:10.1093/bioinformatics/btx122

PeptideMapper: efficient and versatile amino acid sequence and tag mapping

Bioinformatics. 2017 Jul 1;33(13):2042-2044. doi: 10.1093/bioinformatics/btx122.

Authors

Dominik Kopczynski¹, Harald Barsnes^{2

3}, Pål R Njølstad^{4

5}, Albert Sickmann^{1

6

7}, Marc Vaudel^{4

8}, Robert Ahrends¹

Affiliations

¹ Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V, Dortmund 44227, Germany.
² Proteomics Unit, Department of Biomedicine.
³ Computational Biology Unit, Department of Informatics.
⁴ KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
⁵ Department of Pediatrics, Haukeland University Hospital, Bergen, Norway.
⁶ College of Physical Sciences, University of Aberdeen, Old Aberdeen AB24 3UE, UK.
⁷ Medizinische Fakultät, Ruhr-Universität Bochum, Bochum 44801, Germany.
⁸ Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.

PMID: 28334306
DOI: 10.1093/bioinformatics/btx122

Abstract

Availability and implementation: PeptideMapper is implemented in the open source Java CompOmics framework under the permissive Apache 2.0 license https://github.com/compomics/compomics-utilities .

Contact: robert.ahrends@isas.de or marc.vaudel@uib.no.

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

Animals
Humans
Mice / metabolism
Sequence Analysis, Protein / methods*
Software*
Yeasts