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geneRFinder: gene finding in distinct metagenomic data complexities.

Raíssa SilvaKleber PadovaniFabiana GóesRonnie Alves
Published in: BMC bioinformatics (2021)
We provide geneRFinder, an approach for gene prediction in distinct metagenomic complexities, available at gitlab.com/r.lorenna/generfinder and https://osf.io/w2yd6/ , and also we provide a novel, comprehensive benchmark data for gene prediction-which is based on The Critical Assessment of Metagenome Interpretation (CAMI) challenge, and contains labeled data from gene regions-available at https://sourceforge.net/p/generfinder-benchmark .
Keyphrases
  • copy number
  • genome wide
  • electronic health record
  • big data
  • dna methylation
  • gene expression
  • machine learning
  • computed tomography
  • microbial community