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The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework.

Luca MassiminoLuigi Antonio LamparelliYashar HoushyarSilvia D'AlessioLaurent Peyrin-BirouletStefania VetranoSilvio DaneseFederica Ungaro
Published in: Nature computational science (2021)
Inflammatory bowel disease (IBD) is a class of chronic disorders whose etiogenesis is still unknown. Despite the high number of IBD-related omics studies, the RNA-sequencing data produced results that are hard to compare because of the experimental variability and different data analysis approaches. We here introduce the IBD Transcriptome and Metatranscriptome Meta-Analysis (TaMMA) framework, a comprehensive survey of publicly available IBD RNA-sequencing datasets. IBD TaMMA is an open-source platform where scientists can explore simultaneously the freely available IBD-associated transcriptomics and microbial profiles thanks to its interactive interface, resulting in a useful tool to the IBD community.
Keyphrases
  • single cell
  • ulcerative colitis
  • systematic review
  • data analysis
  • rna seq
  • gene expression
  • mental health
  • randomized controlled trial
  • machine learning
  • meta analyses
  • microbial community
  • dna methylation
  • big data