Literature DB >> 20457755

Introduction into the analysis of high-throughput-sequencing based epigenome data.

Mikael Huss1.   

Abstract

Sequencing-based approaches now allow high-resolution, genome-scale investigation of cellular epigenetic landscapes. For example, mapping of open chromatin regions, post-translational histone modifications and DNA methylation across a whole genome is now feasible, and new non-coding regulatory RNAs can be sensitively identified via RNA sequencing. The resulting large-scale data sets promise to contribute towards a more precise and complete understanding of gene regulation and to yield insights into the interplay between genomes and the environment. In this article, I review some of the conceptual issues and currently available software tools for the analysis of sequencing-based whole-genome epigenetics data.

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Year:  2010        PMID: 20457755     DOI: 10.1093/bib/bbq014

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  9 in total

1.  MethylCoder: software pipeline for bisulfite-treated sequences.

Authors:  Brent Pedersen; Tzung-Fu Hsieh; Christian Ibarra; Robert L Fischer
Journal:  Bioinformatics       Date:  2011-06-30       Impact factor: 6.937

Review 2.  Human genetics and genomics a decade after the release of the draft sequence of the human genome.

Authors:  Nasheen Naidoo; Yudi Pawitan; Richie Soong; David N Cooper; Chee-Seng Ku
Journal:  Hum Genomics       Date:  2011-10       Impact factor: 4.639

3.  Is this the right normalization? A diagnostic tool for ChIP-seq normalization.

Authors:  Claudia Angelini; Ruth Heller; Rita Volkinshtein; Daniel Yekutieli
Journal:  BMC Bioinformatics       Date:  2015-05-09       Impact factor: 3.169

4.  Whole genome sequencing of the black grouse (Tetrao tetrix): reference guided assembly suggests faster-Z and MHC evolution.

Authors:  Biao Wang; Robert Ekblom; Ignas Bunikis; Heli Siitari; Jacob Höglund
Journal:  BMC Genomics       Date:  2014-03-06       Impact factor: 3.969

5.  Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers.

Authors:  Anneleen Decock; Maté Ongenaert; Jasmien Hoebeeck; Katleen De Preter; Gert Van Peer; Wim Van Criekinge; Ruth Ladenstein; Johannes H Schulte; Rosa Noguera; Raymond L Stallings; An Van Damme; Geneviève Laureys; Joëlle Vermeulen; Tom Van Maerken; Frank Speleman; Jo Vandesompele
Journal:  Genome Biol       Date:  2012-10-03       Impact factor: 13.583

Review 6.  Genomic impact of cigarette smoke, with application to three smoking-related diseases.

Authors:  M Talikka; N Sierro; N V Ivanov; N Chaudhary; M J Peck; J Hoeng; C R E Coggins; M C Peitsch
Journal:  Crit Rev Toxicol       Date:  2012-09-18       Impact factor: 5.635

7.  Integrated profiling of microRNA expression in membranous nephropathy using high-throughput sequencing technology.

Authors:  Wenbiao Chen; Xiaocong Lin; Jianrong Huang; Kuibi Tan; Yuyu Chen; Wujian Peng; Wuxian Li; Yong Dai
Journal:  Int J Mol Med       Date:  2013-11-12       Impact factor: 4.101

8.  Methyl-CpG-binding domain sequencing reveals a prognostic methylation signature in neuroblastoma.

Authors:  Anneleen Decock; Maté Ongenaert; Robrecht Cannoodt; Kimberly Verniers; Bram De Wilde; Geneviève Laureys; Nadine Van Roy; Ana P Berbegall; Julie Bienertova-Vasku; Nick Bown; Nathalie Clément; Valérie Combaret; Michelle Haber; Claire Hoyoux; Jayne Murray; Rosa Noguera; Gaelle Pierron; Gudrun Schleiermacher; Johannes H Schulte; Ray L Stallings; Deborah A Tweddle; Katleen De Preter; Frank Speleman; Jo Vandesompele
Journal:  Oncotarget       Date:  2016-01-12

Review 9.  Base resolution methylome profiling: considerations in platform selection, data preprocessing and analysis.

Authors:  Zhifu Sun; Julie Cunningham; Susan Slager; Jean-Pierre Kocher
Journal:  Epigenomics       Date:  2015-09-14       Impact factor: 4.778

  9 in total

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