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Matataki: an ultrafast mRNA quantification method for large-scale reanalysis of RNA-Seq data.

Yasunobu OkamuraKengo Kinoshita
Published in: BMC bioinformatics (2018)
The development of Matataki can overcome current limitations in reanalyzing RNA-Seq data toward improving the potential for discovering genes and pathways associated with disease at reduced computational cost. Thus, the main bottleneck of RNA-Seq analyses has shifted to achieving the decompression of sequenced data. The implementation of Matataki is available at https://github.com/informationsea/Matataki .
Keyphrases
  • rna seq
  • single cell
  • electronic health record
  • big data
  • primary care
  • healthcare
  • genome wide
  • machine learning
  • minimally invasive
  • artificial intelligence
  • dna methylation
  • quantum dots
  • genome wide identification