Chapter title |
Analysis of ChIP-Seq and RNA-Seq Data with BioWardrobe
|
---|---|
Chapter number | 17 |
Book title |
Gene Expression Analysis
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7834-2_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7833-5, 978-1-4939-7834-2
|
Authors |
Sushmitha Vallabh, Andrey V. Kartashov, Artem Barski, Vallabh, Sushmitha, Kartashov, Andrey V., Barski, Artem |
Abstract |
The massive amount of information produced by ChIP-Seq, RNA-Seq, and other next-generation sequencing-based methods requires computational data analysis. However, biologists performing these experiments often lack training in bioinformatics. BioWardrobe aims to bridge this gap by providing a convenient user interface and by automating routine data-processing steps. This protocol details the use of BioWardrobe for identifying and visualizing ChIP-Seq peaks, calculating RPKMs, performing differential binding or gene expression analysis, and creating plots and heat maps. We specifically describe how to use BioWardrobe's quality control measures for troubleshooting NGS-based experiments. |
X Demographics
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 23% |
Student > Ph. D. Student | 3 | 14% |
Student > Master | 3 | 14% |
Student > Bachelor | 2 | 9% |
Student > Doctoral Student | 1 | 5% |
Other | 3 | 14% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 9 | 41% |
Agricultural and Biological Sciences | 4 | 18% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Chemistry | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 27% |