Literature DB >> 27115642

Analysis and Visualization of ChIP-Seq and RNA-Seq Sequence Alignments Using ngs.plot.

Yong-Hwee Eddie Loh1, Li Shen2,3.   

Abstract

The continual maturation and increasing applications of next-generation sequencing technology in scientific research have yielded ever-increasing amounts of data that need to be effectively and efficiently analyzed and innovatively mined for new biological insights. We have developed ngs.plot-a quick and easy-to-use bioinformatics tool that performs visualizations of the spatial relationships between sequencing alignment enrichment and specific genomic features or regions. More importantly, ngs.plot is customizable beyond the use of standard genomic feature databases to allow the analysis and visualization of user-specified regions of interest generated by the user's own hypotheses. In this protocol, we demonstrate and explain the use of ngs.plot using command line executions, as well as a web-based workflow on the Galaxy framework. We replicate the underlying commands used in the analysis of a true biological dataset that we had reported and published earlier and demonstrate how ngs.plot can easily generate publication-ready figures. With ngs.plot, users would be able to efficiently and innovatively mine their own datasets without having to be involved in the technical aspects of sequence coverage calculations and genomic databases.

Keywords:  ChIP-seq; Heatmap; RNA-seq; Visualization; ngs.plot

Mesh:

Year:  2016        PMID: 27115642     DOI: 10.1007/978-1-4939-3572-7_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  RNA helicase, DDX3X, is actively recruited to sites of DNA damage in live cells.

Authors:  Michael J Cargill; Alicia Morales; Shashidhar Ravishankar; Edus H Warren
Journal:  DNA Repair (Amst)       Date:  2021-05-18

2.  Explorative visual analytics on interval-based genomic data and their metadata.

Authors:  Vahid Jalili; Matteo Matteucci; Marco Masseroli; Stefano Ceri
Journal:  BMC Bioinformatics       Date:  2017-12-04       Impact factor: 3.169

3.  Global identification of hnRNP A1 binding sites for SSO-based splicing modulation.

Authors:  Gitte H Bruun; Thomas K Doktor; Jonas Borch-Jensen; Akio Masuda; Adrian R Krainer; Kinji Ohno; Brage S Andresen
Journal:  BMC Biol       Date:  2016-07-05       Impact factor: 7.431

  3 in total

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