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Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi.

Jens KeilwagenFrank HartungMichael PauliniSven O TwardziokJan Grau
Published in: BMC bioinformatics (2018)
GeMoMa might be of great utility for annotating newly sequenced genomes but also for finding homologs of a specific gene or gene family. GeMoMa has been published under GNU GPL3 and is freely available at http://www.jstacs.de/index.php/GeMoMa .
Keyphrases
  • rna seq
  • single cell
  • copy number
  • genome wide identification
  • electronic health record
  • randomized controlled trial
  • machine learning
  • dna methylation
  • artificial intelligence
  • data analysis