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C3D: a tool to predict 3D genomic interactions between cis-regulatory elements.
Mehdi, Tahmid; Bailey, Swneke D; Guilhamon, Paul; Lupien, Mathieu.
Afiliação
  • Mehdi T; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
  • Bailey SD; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada.
  • Guilhamon P; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
  • Lupien M; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Bioinformatics ; 35(5): 877-879, 2019 03 01.
Article em En | MEDLINE | ID: mdl-30816925
ABSTRACT
MOTIVATION The 3D genome architecture influences the regulation of genes by facilitating chromatin interactions between distal cis-regulatory elements and gene promoters. We implement Cross Cell-type Correlation based on DNA accessibility (C3D), a customizable computational tool that predicts chromatin interactions using an unsupervised algorithm that utilizes correlations in chromatin measurements, such as DNaseI hypersensitivity signals.

RESULTS:

C3D accurately predicts 32.7%, 18.3% and 24.1% of interactions, validated by ChIA-PET assays, between promoters and distal regions that overlie DNaseI hypersensitive sites in K562, MCF-7 and GM12878 cells, respectively. AVAILABILITY AND IMPLEMENTATION Source code is open-source and freely available on GitHub (https//github.com/LupienLabOrganization/C3D) under the GNU GPLv3 license. C3D is implemented in Bash and R; it runs on any platform with Bash (≥4.0), R (≥3.1.1) and BEDTools (≥2.19.0). It requires the following R packages GenomicRanges, Sushi, data.table, preprocessCore and dynamicTreeCut. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma / Genômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article