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A fast and robust protocol for metataxonomic analysis using RNAseq data.

Jeremy W CoxRichard A BallwegDiana H TaftPrakash VelayuthamDavid B HaslamAleksey Porollo
Published in: Microbiome (2017)
The developed protocol addresses the need for taxonomy classification from RNAseq data. Previously not utilized, i.e., unmapped to a reference genome, RNAseq reads can now be used to gather taxonomic information about the microbiota present in a biological sample without conducting additional sequencing. Any metatranscriptome pipeline that includes assembly of reads can add this analysis with minimal additional cost of compute time. The new protocol also creates an opportunity to revisit old metatranscriptome data, where taxonomic content may be important but was not analyzed.
Keyphrases
  • electronic health record
  • randomized controlled trial
  • big data
  • machine learning
  • deep learning
  • data analysis
  • single cell
  • gene expression
  • artificial intelligence