
Nonfiction
Track this book
You choose which shelves are public. Progress and read dates stay yours.
About
"RNA-seq offers unprecedented information about transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. This self-contained guide enables researchers to examine differential expression at gene, exon, and transcript level and to discover novel genes, transcripts, and whole transcriptomes. Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools. The book also provides examples using command line tools and the R statistical environment. For non-programming scientists, the same examples are covered using open…
More like this








Reviews
Rating integrity
HealthyCounted ratings come from accounts older than 7 days and were made on or after publication. Finished readers weigh ×1.0. Readers who have not finished yet weigh ×0.5. Did-not-finish ratings are shown but not counted.
Editions
5 editions- Other · English · 2015CRC Press, Taylor & Francis Group · 298 pages · 9781466595002
- Other · English · 2014Taylor & Francis Group · 322 pages · 9780429169205
- Other · English · 2014Taylor & Francis Group · 9781040071601
- Other · English · 2014Taylor & Francis Group · 322 pages · 9781482262353
- Other · English · 2014Taylor & Francis Group · 322 pages · 9781466595019
RNA Sequence AnalysisMethodsTranscriptomeStatistics as TopicRnaNucleotide sequenceData processingStatistical methods