DOGMA: domain-based transcriptome and proteome quality assessment

Bioinformatics
Elias DohmenCarsten Kemena

Abstract

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. 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. 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 data are available at Bioinformatics online.

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Citations

Feb 20, 2019·Scientific Data·Huimin CaiJian Wang
Jun 28, 2020·Genome Biology and Evolution·Maulik UpadhyayIvica Medugorac
May 19, 2018·Genome Announcements·Narendra MeenaKrishna Mohan Medicherla
May 12, 2019·Nucleic Acids Research·Carsten KemenaErich Bornberg-Bauer
Oct 30, 2016·Genetics·Kristian A StevensCharles H Langley
Feb 16, 2020·BMC Evolutionary Biology·Elias DohmenCarsten Kemena
Feb 10, 2021·G3 : Genes - Genomes - Genetics·Jonas BohnWojciech Makałowski

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