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001    892869850 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr ||||||||||| 
008    141003s2014    flua    ob    001 0 eng d 
015    GBB4A7812|2bnb 
015    GBB4A6566|2bnb 
016 7  016886898|2Uk 
016 7  016885649|2Uk 
019    972012837 
020    9781466595019|q(PDF ebook) 
020    1466595019|q(PDF ebook) 
020    9781482262353|q(VitalBook ebook) 
020    1482262355|q(VitalBook ebook) 
020    9781466595002 
020    1466595000 
029 1  UKMGB|b016886898 
035    (OCoLC)892869850|z(OCoLC)972012837 
037    TANDF_308597|bIngram Content Group 
037    9781466595002|bO'Reilly Media 
040    UKMGB|beng|epn|cUKMGB|dOCLCO|dOCLCF|dOCLCQ|dLVT|dOCLCQ
       |dUKMGB|dOCLCO|dORMDA 
049    INap 
082 04 572.88 
082 04 572.88|223 
099    eBook O'Reilly for Public Libraries 
100 1  Korpelainen, Eija,|eauthor. 
245 10 RNA-seq data analysis :|ba practical approach /|cEija 
       Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, 
       Garry Wong.|h[O'Reilly electronic resource] 
264  1 Boca Raton :|bChapman & Hall/CRC,|c2014. 
300    1 online resource (1 volume) 
336    text|btxt|2rdacontent 
336    still image|bsti|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references and index. 
520    The State of the Art in Transcriptome Analysis RNA 
       sequencing (RNA-seq) data offers unprecedented information
       about the transcriptome, but harnessing this information 
       with bioinformatics tools is typically a bottleneck. RNA-
       seq Data Analysis: A Practical Approach enables 
       researchers to examine differential expression at gene, 
       exon, and transcript levels and to discover novel genes, 
       transcripts, and whole transcriptomes. Balanced Coverage 
       of Theory and Practice Each chapter starts with 
       theoretical background, followed by descriptions of 
       relevant analysis tools and practical examples. Accessible
       to both bioinformaticians and nonprogramming wet lab 
       scientists, the examples illustrate the use of command-
       line tools, R, and other open source tools, such as the 
       graphical Chipster software. The Tools and Methods to Get 
       Started in Your Lab Taking readers through the whole data 
       analysis workflow, this self-contained guide provides a 
       detailed overview of the main RNA-seq data analysis 
       methods and explains how to use them in practice. It is 
       suitable for researchers from a wide variety of 
       backgrounds, including biology, medicine, genetics, and 
       computer science. The book can also be used in a graduate 
       or advanced undergraduate course. 
588 0  CIP data; item not viewed. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 RNA|xAnalysis. 
650  0 Nucleotide sequence|xData processing. 
650  6 ARN|xAnalyse. 
650  7 Nucleotide sequence|xData processing.|2fast
       |0(OCoLC)fst01041111 
650  7 RNA|xAnalysis.|2fast|0(OCoLC)fst01086245 
700 1  Tuimala, Jarno,|eauthor. 
700 1  Somervuo, Panu,|eauthor. 
700 1  Huss, Mikael,|eauthor. 
700 1  Wong, Garry,|eauthor. 
776 08 |iPrint version:|z9781466595002 
830  0 Chapman and Hall/CRC mathematical & computational biology 
       series. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781466595002/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN