DOGMA: domain-based transcriptome and proteome quality assessment

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-mail] or [e-mail]
Supplementary information: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics - August 31, 2016 Category: Bioinformatics Authors: Dohmen, E., Kremer, L. P. M., Bornberg-Bauer, E., Kemena, C. Tags: GENOME ANALYSIS Source Type: research