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DOGMA: a web server for proteome and transcriptome quality assessment.

Carsten Kemena1, Elias Dohmen1, Erich Bornberg-Bauer1

  • 1Institute for Evolution and Biodiversity, Westfälische Wilhelms-Universität Münster, Hüfferstrasse 1, NRW, 48149 Münster, Germany.

Nucleic Acids Research
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Summary
This summary is machine-generated.

Annotating transcriptomes and proteomes is challenging. The DOGMA software and web server provide quality assessment by comparing protein domains, enhancing data reliability for researchers.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Accurate annotation of transcriptomes and proteomes is essential for reliable biological studies.
  • Existing bioinformatics tools face challenges in comprehensive annotation, impacting data integrity.
  • Quality assessment is a critical prerequisite for downstream analyses of novel biological datasets.

Purpose of the Study:

  • To introduce DOGMA, a novel software and web server for assessing the quality of transcriptome and proteome annotations.
  • To provide a user-friendly platform for evaluating biological data against conserved protein domains and arrangements.
  • To enhance the reliability of transcriptomic and proteomic studies through robust quality control.

Main Methods:

  • DOGMA evaluates data by comparing it against precomputed core sets of conserved protein domains and their arrangements.
  • The software offers specialized core sets tailored to different phylogenetic clades for species-specific analysis.
  • A web server interface facilitates easy access, analysis, and graphical visualization of results against public data.

Main Results:

  • The DOGMA web server offers a user-friendly interface for transcriptome and proteome quality assessment.
  • Analysis results are presented graphically, allowing comparison with publicly available datasets.
  • The software is freely available for download, supporting large-scale analyses.

Conclusions:

  • DOGMA significantly improves the quality assessment of transcriptome and proteome data.
  • The web server and downloadable software enhance accessibility and usability for researchers.
  • Reliable annotation through DOGMA strengthens the foundation for diverse biological research.