RNA-seq data analysis : a practical approach
Korpelainen, Eija
RNA-seq data analysis : a practical approach Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong. - London : CRC Press, ©2015. - xxiv, 298 p. : ill. ; 24 cm. - Chapman & Hall/CRC Mathematical and computational biology series .
"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"--
9781466595002
2014024218
Sequence Analysis, RNA--methods.
Transcriptome.
Statistics as Topic.
QP623 / .K67 2015
572.88 / KOR-R
QU 58.7
RNA-seq data analysis : a practical approach Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong. - London : CRC Press, ©2015. - xxiv, 298 p. : ill. ; 24 cm. - Chapman & Hall/CRC Mathematical and computational biology series .
"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"--
9781466595002
2014024218
Sequence Analysis, RNA--methods.
Transcriptome.
Statistics as Topic.
QP623 / .K67 2015
572.88 / KOR-R
QU 58.7