DOGMA
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionDomain-based transcriptome and proteome quality assessment
Homepagehttps://ebbgit.uni-muenster.de/domainWorld/DOGMA/
Publications
DOGMA: domain-based transcriptome and proteome quality assessment
Elias Dohmen; Lukas P.M. Kremer; Erich Bornberg-Bauer; Carsten Kemena
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.
Metrics:
1
Canned Analyses generated by the tool
There are no indexed analyses by this tool at the moment.
Datasets analyzed by the tool
There are no indexed analyses by this tool at the moment.
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.