Literature DB >> 24371156

ALEA: a toolbox for allele-specific epigenomics analysis.

Hamid Younesy1, Torsten Möller1, Alireza Heravi-Moussavi2, Jeffrey B Cheng2, Joseph F Costello2, Matthew C Lorincz2, Mohammad M Karimi1, Steven J M Jones2.   

Abstract

The assessment of expression and epigenomic status using sequencing based methods provides an unprecedented opportunity to identify and correlate allelic differences with epigenomic status. We present ALEA, a computational toolbox for allele-specific epigenomics analysis, which incorporates allelic variation data within existing resources, allowing for the identification of significant associations between epigenetic modifications and specific allelic variants in human and mouse cells. ALEA provides a customizable pipeline of command line tools for allele-specific analysis of next-generation sequencing data (ChIP-seq, RNA-seq, etc.) that takes the raw sequencing data and produces separate allelic tracks ready to be viewed on genome browsers. The pipeline has been validated using human and hybrid mouse ChIP-seq and RNA-seq data. AVAILABILITY: The package, test data and usage instructions are available online at http://www.bcgsc.ca/platform/bioinfo/software/alea CONTACT: : mkarimi1@interchange.ubc.ca or sjones@bcgsc.ca Supplementary information: Supplementary data are available at Bioinformatics online.
© The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2013        PMID: 24371156     DOI: 10.1093/bioinformatics/btt744

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  10 in total

1.  ABC: a tool to identify SNVs causing allele-specific transcription factor binding from ChIP-Seq experiments.

Authors:  Swneke D Bailey; Carl Virtanen; Benjamin Haibe-Kains; Mathieu Lupien
Journal:  Bioinformatics       Date:  2015-05-20       Impact factor: 6.937

2.  An empirical Bayes test for allelic-imbalance detection in ChIP-seq.

Authors:  Qi Zhang; Sündüz Keles
Journal:  Biostatistics       Date:  2018-10-01       Impact factor: 5.899

3.  VisRseq: R-based visual framework for analysis of sequencing data.

Authors:  Hamid Younesy; Torsten Möller; Matthew C Lorincz; Mohammad M Karimi; Steven J M Jones
Journal:  BMC Bioinformatics       Date:  2015-08-13       Impact factor: 3.169

4.  Topoisomerase II beta interacts with cohesin and CTCF at topological domain borders.

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Journal:  Genome Biol       Date:  2016-08-31       Impact factor: 13.583

5.  Evaluating the impact of single nucleotide variants on transcription factor binding.

Authors:  Wenqiang Shi; Oriol Fornes; Anthony Mathelier; Wyeth W Wasserman
Journal:  Nucleic Acids Res       Date:  2016-08-04       Impact factor: 16.971

6.  Exploratory bioinformatics investigation reveals importance of "junk" DNA in early embryo development.

Authors:  Steven Xijin Ge
Journal:  BMC Genomics       Date:  2017-02-23       Impact factor: 3.969

7.  Allele specific chromatin signals, 3D interactions, and motif predictions for immune and B cell related diseases.

Authors:  Marco Cavalli; Nicholas Baltzer; Husen M Umer; Jan Grau; Ioana Lemnian; Gang Pan; Ola Wallerman; Rapolas Spalinskas; Pelin Sahlén; Ivo Grosse; Jan Komorowski; Claes Wadelius
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

8.  Studies of liver tissue identify functional gene regulatory elements associated to gene expression, type 2 diabetes, and other metabolic diseases.

Authors:  Marco Cavalli; Nicholas Baltzer; Gang Pan; José Ramón Bárcenas Walls; Karolina Smolinska Garbulowska; Chanchal Kumar; Stanko Skrtic; Jan Komorowski; Claes Wadelius
Journal:  Hum Genomics       Date:  2019-04-29       Impact factor: 4.639

9.  Muscle allele-specific expression QTLs may affect meat quality traits in Bos indicus.

Authors:  Jennifer Jessica Bruscadin; Marcela Maria de Souza; Karina Santos de Oliveira; Marina Ibelli Pereira Rocha; Juliana Afonso; Tainã Figueiredo Cardoso; Adhemar Zerlotini; Luiz Lehmann Coutinho; Simone Cristina Méo Niciura; Luciana Correia de Almeida Regitano
Journal:  Sci Rep       Date:  2021-04-01       Impact factor: 4.379

10.  Development and application of an integrated allele-specific pipeline for methylomic and epigenomic analysis (MEA).

Authors:  Julien Richard Albert; Tasuku Koike; Hamid Younesy; Richard Thompson; Aaron B Bogutz; Mohammad M Karimi; Matthew C Lorincz
Journal:  BMC Genomics       Date:  2018-06-15       Impact factor: 3.969

  10 in total

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