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Published on: May 9, 2017
DOGMA: domain-based transcriptome and proteome quality assessment
Elias Dohmen1, Lukas P M Kremer2, Erich Bornberg-Bauer2
1Institute for Evolution and Biodiversity, University of Münster, Münster 48149, Germany Institute for Bioinformatics and Chemoinformatics, Westphalian University of Applied Sciences, Recklinghausen 45665, Germany.
Motivation:
Genome studies have become cheaper and easier than ever before, due to the decreased costs of high-throughput sequencing and the free availability of analysis software. However, the quality of genome or transcriptome assemblies can vary a lot. Therefore, quality assessment of assemblies and annotations are crucial aspects of genome analysis pipelines.
Results:
We developed DOGMA, a program for fast and easy quality assessment of transcriptome and proteome data based on conserved protein domains. DOGMA measures the completeness of a given transcriptome or proteome and provides information about domain content for further analysis. DOGMA provides a very fast way to do quality assessment within seconds.
Availability And Implementation:
DOGMA is implemented in Python and published under GNU GPL v.3 license. The source code is available on https://ebbgit.uni-muenster.de/domainWorld/DOGMA/ CONTACTS: e.dohmen@wwu.de or c.kemena@wwu.de
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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