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The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework.
Massimino, Luca; Lamparelli, Luigi Antonio; Houshyar, Yashar; D'Alessio, Silvia; Peyrin-Biroulet, Laurent; Vetrano, Stefania; Danese, Silvio; Ungaro, Federica.
Afiliación
  • Massimino L; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy. admin@lucamassimino.com.
  • Lamparelli LA; IBD Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy. admin@lucamassimino.com.
  • Houshyar Y; IBD Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
  • D'Alessio S; IBD Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
  • Peyrin-Biroulet L; PhoenixLAB, Lodi, Italy.
  • Vetrano S; Inserm NGERE, University of Lorraine, Vandoeuvre-les-Nancy, France.
  • Danese S; Nancy University Hospital, Vandoeuvre-les-Nancy, France.
  • Ungaro F; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Nat Comput Sci ; 1(8): 511-515, 2021 Aug.
Article en En | MEDLINE | ID: mdl-38217242
ABSTRACT
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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: Nat Comput Sci / Nat. comput. sci / Nature computational science Año: 2021 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: Nat Comput Sci / Nat. comput. sci / Nature computational science Año: 2021 Tipo del documento: Article País de afiliación: Italia