[PDF.41mw] RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Mathematical and Computational Biology)

RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Mathematical and Computational Biology)

[PDF.ua64] RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Mathematical and Computational Biology)

RNA-seq Data Analysis: A  Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong epub
RNA-seq Data Analysis: A  Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong pdf download
RNA-seq Data Analysis: A  Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong pdf file
RNA-seq Data Analysis: A  Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong audiobook
RNA-seq Data Analysis: A  Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong book review
RNA-seq Data Analysis: A  Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong summary

 | #92871 in Books |  CRC Press |  2014-09-19 | Original language:English | PDF # 1 |  8.00 x5.00 x1.00l,.0 | File type: PDF | 322 pages

 | CRC Press

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||2 of 2 people found the following review helpful.| Excellent, detailed introduction to RNAseq technology and application|By SN|Having now purchased a few other books on this topic from , I have to say this one is the best if you need an introduction to the field. The others could be 1) downloaded from your university journal subscription, and 2) focus much more on theory and suited better suited for those already familiar with| ||"Next-generation sequencing (NGS) is without doubt among the last decade’s most important technological advance in molecular biology, and RNA sequencing is its most common application, rapidly becoming an indispensable tool in drug discovery and biomark

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.

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