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| 001 | 2210080838895 | |
| 003 | OCoLC | |
| 005 | 20180222152652 | |
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| 007 | cr mn||||||||| | |
| 008 | 141001t20152015flua ob 001 0 eng d | |
| 019 | ▼a891739861▼a893023149▼a908078470 | |
| 020 | ▼a9781466595019▼q(electronic bk.) | |
| 020 | ▼a1466595019▼q(electronic bk.) | |
| 020 | ▼z9781466595002▼q(hardcover▼qalk. paper) | |
| 020 | ▼z1466595000▼q(hardcover▼qalk. paper) | |
| 029 | ▼aAU@▼b000059646327 | |
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| 050 | ▼aQP625.N89▼bK67 2015 | |
| 060 | ▼aQU 58.7 | |
| 072 | ▼aSCI▼x007000▼2bisacsh | |
| 082 | ▼a572.8/833▼223 | |
| 100 | ▼aKorpelainen, Eija,▼eauthor. | |
| 245 | 00 | ▼aRNA-seq data analysis :▼ba practical approach /▼cEija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong. |
| 264 | ▼aBoca Raton :▼bCRC Press, Taylor & Francis Group,▼c[2015] | |
| 264 | ▼c짤2015 | |
| 300 | ▼a1 online resource (xxiv, 298 pages) :▼billustrations. | |
| 336 | ▼atext▼btxt▼2rdacontent | |
| 337 | ▼acomputer▼bc▼2rdamedia | |
| 338 | ▼aonline resource▼bcr▼2rdacarrier | |
| 490 | ▼aChapman & Hall/CRC mathematical and computational biology series | |
| 500 | 00 | ▼a"A Chapman & Hall book." |
| 504 | ▼aIncludes bibliographical references and index. | |
| 505 | ▼aChapter 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. | |
| 588 | ▼aPrint version record. | |
| 590 | ▼aeBooks on EBSCOhost▼bAll EBSCO eBooks | |
| 650 | ▼aNucleotide sequence▼xData processing. | |
| 650 | ▼aNucleotide sequence▼xStatistical methods. | |
| 650 | ▼aSCIENCE▼xLife Sciences▼xBiochemistry.▼2bisacsh | |
| 650 | ▼aNucleotide sequence▼xData processing.▼2fast▼0(OCoLC)fst01041111 | |
| 650 | ▼aNucleotide sequence▼xStatistical methods.▼2fast▼0(OCoLC)fst01041117 | |
| 650 | ▼aSequence Analysis, RNA▼xmethods. | |
| 650 | ▼aTranscriptome. | |
| 650 | ▼aStatistics as Topic. | |
| 655 | ▼aElectronic books. | |
| 700 | ▼aTuimala, Jarno,▼eauthor. | |
| 700 | ▼aSomervuo, Panu,▼eauthor. | |
| 700 | ▼aHuss, Mikael,▼eauthor. | |
| 700 | ▼aWong, Garry,▼eauthor. | |
| 776 | ▼iPrint version:▼aKorpelainen, Eija.▼tRNA-seq data analysis.▼dBoca Raton : Taylor & Francis, 2015▼z9781466595002▼w(DLC) 2014024218▼w(OCoLC)881838924 | |
| 830 | ▼aChapman and Hall/CRC mathematical & computational biology series. | |
| 856 | ▼uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1048842 | |
| 938 | ▼aCRC Press▼bCRCP▼nCAH0KE23533PDF | |
| 938 | ▼aebrary▼bEBRY▼nebr11030851 | |
| 938 | ▼aEBSCOhost▼bEBSC▼n1048842 | |
| 938 | ▼aProQuest MyiLibrary Digital eBook Collection▼bIDEB▼ncis28114535 | |
| 938 | ▼aYBP Library Services▼bYANK▼n11558725 | |
| 938 | ▼aYBP Library Services▼bYANK▼n12072418 |
RNA-seq data analysis :a practical approach /Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
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RNA-seq data analysis :a practical approach /Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
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형태사항
1 online resource (xxiv, 298 pages) : illustrations.
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"A Chapman & Hall book." / Includes bibliographical references and index. / "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.
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