DOGMA: domain-based transcriptome and proteome quality assessment

Bioinformatics. 2016 Sep 1;32(17):2577-81. doi: 10.1093/bioinformatics/btw231. Epub 2016 May 5.


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 CONTACTS: or

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Computational Biology
  • Genome
  • Proteome*
  • Software*
  • Transcriptome*


  • Proteome