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RAD: a web application to identify region associated differentially expressed genes.
Guo, Yixin; Xue, Ziwei; Yuan, Ruihong; Li, Jingyi Jessica; Pastor, William A; Liu, Wanlu.
Afiliação
  • Guo Y; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Haining 314400, China.
  • Xue Z; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Haining 314400, China.
  • Yuan R; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Haining 314400, China.
  • Li JJ; Department of Statistics, University of California, Los Angeles, CA 90095-1554, USA.
  • Pastor WA; Department of Biochemistry, McGill University, Montreal, QC H3G 1Y6, Canada.
  • Liu W; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Haining 314400, China.
Bioinformatics ; 37(17): 2741-2743, 2021 Sep 09.
Article em En | MEDLINE | ID: mdl-33532827
ABSTRACT

SUMMARY:

With the advance of genomic sequencing techniques, chromatin accessible regions, transcription factor binding sites and epigenetic modifications can be identified at genome-wide scale. Conventional analyses focus on the gene regulation at proximal regions; however, distal regions are usually less focused, largely due to the lack of reliable tools to link these regions to coding genes. In this study, we introduce RAD (Region Associated Differentially expressed genes), a user-friendly web tool to identify both proximal and distal region associated differentially expressed genes (DEGs). With DEGs and genomic regions of interest (gROI) as input, RAD maps the up- and down-regulated genes associated with any gROI and helps researchers to infer the regulatory function of these regions based on the distance of gROI to differentially expressed genes. RAD includes visualization of the results and statistical inference for significance. AVAILABILITY AND IMPLEMENTATION RAD is implemented with Python 3.7 and run on a Nginx server. RAD is freely available at https//labw.org/rad as online web service. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article