Korpelainen, Eija, <br/><br/>
RNA-seq data analysis :  a practical approach / 
Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong. 
 - 1st ed 
 - Boca Raton :  CRC Press, Taylor & Francis Group,  [2015] 
 - xxiv, 298 pages :  illustrations ;  24 cm 
 - Chapman & Hall/CRC Mathematical and computational biology series .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> "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 source software with a graphical user interface"-- 
<br/><br/><label>ISBN: </label>9781466595002 (hardcover : alk. paper) 1466595000 (hardcover : alk. paper) 
<br/><br/><label>LCCN: </label>2014024218 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Sequence Analysis, RNA--methods.<br/>Transcriptome.<br/>Statistics as Topic.
<br/><br/><label>LC Class. No.: </label>QP623  / .K67 2015 
<br/><br/><label>Dewey Class. No.: </label>572.88 
<br/><br/><label>National Library of Medicine Call No.: </label>QU 58.7