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008141001t20152015flua ob 001 0 eng d
019 ▼a 891739861 ▼a 893023149 ▼a 908078470
020 ▼a 9781466595019 ▼q (electronic bk.)
020 ▼a 1466595019 ▼q (electronic bk.)
020 ▼z 9781466595002 ▼q (hardcover ▼q alk. paper)
020 ▼z 1466595000 ▼q (hardcover ▼q alk. paper)
0291 ▼a AU@ ▼b 000059646327
0291 ▼a DEBBG ▼b BV042622455
0291 ▼a CHVBK ▼b 480378541
0291 ▼a CHBIS ▼b 010876936
0291 ▼a NLGGC ▼b 382735471
0291 ▼a DEBBG ▼b BV043606996
035 ▼a (OCoLC)891850888 ▼z (OCoLC)891739861 ▼z (OCoLC)893023149 ▼z (OCoLC)908078470
040 ▼a YDXCP ▼b eng ▼e rda ▼e pn ▼c YDXCP ▼d VLB ▼d OCLCO ▼d STF ▼d OCLCQ ▼d OCLCF ▼d E7B ▼d CRCPR ▼d N$T ▼d OCLCO ▼d IDEBK ▼d OSU ▼d OCLCO ▼d OCLCA ▼d UPM ▼d OCLCQ ▼d NLGGC ▼d DEBBG ▼d MERUC ▼d UBY ▼d UAB ▼d MERER ▼d OCLCQ ▼d YUS ▼d OCLCO ▼d OCLCA ▼d U3W ▼d OCLCA ▼d NJR ▼d 247004
050 4 ▼a QP625.N89 ▼b K67 2015
060 4 ▼a QU 58.7
072 7 ▼a SCI ▼x 007000 ▼2 bisacsh
08204 ▼a 572.8/833 ▼2 23
1001 ▼a Korpelainen, Eija, ▼e author.
24510 ▼a RNA-seq data analysis : ▼b a practical approach/ ▼c Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong.
264 1 ▼a Boca Raton : ▼b CRC Press, Taylor & Francis Group, ▼c [2015]
264 4 ▼c ?015
300 ▼a 1 online resource (xxiv, 298 pages): ▼b illustrations.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
4901 ▼a Chapman & Hall/CRC mathematical and computational biology series
500 ▼a "A Chapman & Hall book."
504 ▼a Includes bibliographical references and index.
5050 ▼a Chapter 1. Introduction to RNA-seq -- chapter 2. Introduction to RNA-seq data analysis -- chapter 3. Quality control and preprocessing -- chapter 4. Aligning reads to reference -- chapter 5. Transcriptome assembly -- chapter 6. Quantitation and annotation-based quality control -- chapter 7. RNA-seq analysis framework in R and bioconductor -- chapter 8. Differential expression analysis -- chapter 9. Analysis of differential exon usage -- chapter 10. Annotating the results -- chapter 11. Visualization -- chapter 12. Small noncoding RNAs -- chapter 13. Computational analysis of small noncoding RNA sequencing data.
520 ▼a "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"--Provided by publisher.
5880 ▼a Print version record.
590 ▼a eBooks on EBSCOhost ▼b All EBSCO eBooks
650 0 ▼a Nucleotide sequence ▼x Data processing.
650 0 ▼a Nucleotide sequence ▼x Statistical methods.
650 7 ▼a SCIENCE ▼x Life Sciences ▼x Biochemistry. ▼2 bisacsh
650 7 ▼a Nucleotide sequence ▼x Data processing. ▼2 fast ▼0 (OCoLC)fst01041111
650 7 ▼a Nucleotide sequence ▼x Statistical methods. ▼2 fast ▼0 (OCoLC)fst01041117
65012 ▼a Sequence Analysis, RNA ▼x methods.
65012 ▼a Transcriptome.
65022 ▼a Statistics as Topic.
655 4 ▼a Electronic books.
7001 ▼a Tuimala, Jarno, ▼e author,
7001 ▼a Somervuo, Panu, ▼e author,
7001 ▼a Huss, Mikael, ▼e author,
7001 ▼a Wong, Garry, ▼e author,
77608 ▼i Print version: ▼a Korpelainen, Eija. ▼t RNA-seq data analysis. ▼d Boca Raton : Taylor & Francis, 2015 ▼z 9781466595002 ▼w (DLC) 2014024218 ▼w (OCoLC)881838924
830 0 ▼a Chapman and Hall/CRC mathematical & computational biology series.
85640 ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1048842
938 ▼a CRC Press ▼b CRCP ▼n CAH0KE23533PDF
938 ▼a ebrary ▼b EBRY ▼n ebr11030851
938 ▼a EBSCOhost ▼b EBSC ▼n 1048842
938 ▼a ProQuest MyiLibrary Digital eBook Collection ▼b IDEB ▼n cis28114535
938 ▼a YBP Library Services ▼b YANK ▼n 11558725
938 ▼a YBP Library Services ▼b YANK ▼n 12072418
990 ▼a ***1012033
994 ▼a 92 ▼b KRDHU