RNA-sequence data normalization through in silico prediction of reference genes: the bacterial response to DNA damage as case study

RNA-sequence data normalization through in silico prediction of reference genes: the bacterial response to DNA damage as case study

Abstract Background Measuring how gene expression changes in the course of an experiment assesses how an organism responds on a molecular level. Sequencing of RNA molecules, and their subsequent quantification, aims to assess global gene expression changes on the RNA level (transcriptome). While adv...

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Bibliographic Details
Main Authors: Bork A. Berghoff, Torgny Karlsson, Thomas Källman, E. Gerhart H. Wagner, Manfred G. Grabherr
Format: Article
Language:English
Published: BMC 2017-09-01
Series:BioData Mining
Subjects:
RNA-seq
Transcriptomics
Normalization
Gene expression
DNA damage
Stress response
Online Access:http://link.springer.com/article/10.1186/s13040-017-0150-8

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