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Nature Computational Science
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Nature Computational Science
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Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework

Authors: Luca Massimino; Luigi Antonio Lamparelli; Yashar Houshyar; Silvia D’Alessio; Laurent Peyrin-Biroulet; Stefania Vetrano; Silvio Danese; +1 Authors

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

Abstract

Abstract Inflammatory bowel disease (IBD) is a class of chronic inflammatory gut disorders whose aetiogenesis is still unknown. Despite the high number of omics studies, the RNA sequencing (RNA-Seq) data produced for a better IBD pathogenesis understanding cannot be compared because of the experimental variability and different data analysis approaches. To overcome this hurdle, we here introduce the open-source IBD Transcriptome and Metatranscriptome Meta-Analysis (TaMMA) framework, a comprehensive survey of publicly available IBD RNA-Seq datasets. IBD TaMMA will expedite the profiling of the IBD-associated transcriptome and metatranscriptome, holding out the strong promise of being of high impact for the IBD community.

Keywords

Brief Communication

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    70
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
70
Top 1%
Top 10%
Top 1%
Green
hybrid