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Streamlining differential exon and 3' UTR usage with diffUTR.
Gerber, Stefan; Schratt, Gerhard; Germain, Pierre-Luc.
Afiliação
  • Gerber S; Group of Computational Neurogenomics, D-HEST Institute for Neurosciences, ETH Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
  • Schratt G; Lab of Systems Neuroscience, D-HEST Institute for Neurosciences, ETH Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
  • Germain PL; Lab of Systems Neuroscience, D-HEST Institute for Neurosciences, ETH Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
BMC Bioinformatics ; 22(1): 189, 2021 Apr 13.
Article em En | MEDLINE | ID: mdl-33849458
ABSTRACT

BACKGROUND:

Despite the importance of alternative poly-adenylation and 3' UTR length for a variety of biological phenomena, there are limited means of detecting UTR changes from standard transcriptomic data.

RESULTS:

We present the diffUTR Bioconductor package which streamlines and improves upon differential exon usage (DEU) analyses, and leverages existing DEU tools and alternative poly-adenylation site databases to enable differential 3' UTR usage analysis. We demonstrate the diffUTR features and show that it is more flexible and more accurate than state-of-the-art alternatives, both in simulations and in real data.

CONCLUSIONS:

diffUTR enables differential 3' UTR analysis and more generally facilitates DEU and the exploration of their results.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poli A / Biologia Computacional Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poli A / Biologia Computacional Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça