Analysis of ChIP-seq Data in R/Bioconductor-Reference-Cited by-同舟云学术

Analysis of ChIP-seq Data in R/Bioconductor

Published:2017-10-13 Issue: Volume: Page:195-226
ISSN:1064-3745
Container-title:Chromatin Immunoprecipitation
language:
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Author:

de Santiago Ines,Carroll Thomas

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4939-7380-4_17

Reference47 articles.

1. Landt SG, Marinov GK, Kundaje A et al (2012) ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia. Genome Res 22(9):1813–1831

2. Meyer CA, Liu XS (2014) Identifying and mitigating bias in next-generation sequencing methods for chromatin biology. Nat Rev Genet 15(11):709–721

3. Consortium EP (2012) An integrated encyclopedia of dNA elements in the human genome. Nature 489(7414):57–74

4. .NCBI fTP website for mm10 genome (2016) ftp://ftp.ncbi.nih.gov/genomes/genbank/vertebrate_mammalian/Mus_musculus/all_assembly_versions/GCA_000001635.7_GRCm38.p5/GCA_000001635.7_GRCm38.p5_assembly_structure/Primary_Assembly/assembled_chromosomes/FASTA . Accessed 8 Mar 2017

5. Zhu Y, Stephens RM, Meltzer PS et al (2013) SRAdb: query and use public next-generation sequencing data from within R. BMC Bioinformatics 14:19

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