RNA-Seq: revelation of the messengers

Next-generation RNA-sequencing (RNA-Seq) is rapidly outcompeting microarrays as the technology of choice for whole-transcriptome studies. However, the bioinformatics skills required for RNA-Seq data analysis often pose a significant hurdle for many biologists. Here, we put forward the concepts and c...

Full description

Saved in:
Bibliographic Details
Published in:Trends in plant science 2013-04, Vol.18 (4), p.175-179
Main Authors: Van Verk, Marcel C, Hickman, Richard, Pieterse, Corné M.J, Van Wees, Saskia C.M
Format: Article
Language:English
Subjects:
Base Sequence
bioinformatics
biologists
Computational Biology
DNA, Complementary - genetics
Gene Expression Profiling - methods
gene expression regulation
Gene Library
High-Throughput Nucleotide Sequencing - methods
microarray technology
RNA, Messenger - genetics
Sequence Analysis, RNA - methods
Transcriptome
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Next-generation RNA-sequencing (RNA-Seq) is rapidly outcompeting microarrays as the technology of choice for whole-transcriptome studies. However, the bioinformatics skills required for RNA-Seq data analysis often pose a significant hurdle for many biologists. Here, we put forward the concepts and considerations that are critical for RNA-Seq data analysis and provide a generic tutorial with example data that outlines the whole pipeline from next-generation sequencing output to quantification of differential gene expression.
ISSN:1360-1385
1878-4372
DOI:10.1016/j.tplants.2013.02.001