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metaGOflow: a workflow for the analysis of marine Genomic Observatories shotgun metagenomics data.

Haris ZafeiropoulosMartin BeracocheaStelios NinidakisKatrina ExterAntonis PotirakisGianluca De MoroLorna RichardsonErwann CorreJoão MachadoEvangelos PafilisGeorgios KotoulasIoulia SantiRobert D FinnCymon J CoxChristina Pavloudi
Published in: GigaScience (2023)
metaGOflow is an efficient and robust workflow that scales to the needs of projects producing big metagenomic data such as EMO BON. It highlights how containerization technologies along with modern workflow languages and metadata package approaches can support the needs of researchers when dealing with ever-increasing volumes of biological data. Despite being initially oriented to address the needs of EMO BON, metaGOflow is a flexible and easy-to-use workflow that can be broadly used for one-sample-at-a-time analysis of shotgun metagenomics data.
Keyphrases
  • electronic health record
  • big data
  • data analysis
  • artificial intelligence
  • dna methylation
  • quality improvement
  • microbial community