The analytical landscape of static and temporal dynamics in transcriptome data

The analytical landscape of static and temporal dynamics in transcriptome data

Interpreting gene expression profiles often involves statistical analysis of large numbers of differentially expressed (DEX) genes, isoforms, and alternative splicing (AS) events at either static or dynamic spectrums. Reduced sequencing costs have made feasible dense time-series analysis of gene exp...

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Bibliographic Details
Main Authors: Sunghee eOh, Seongho eSong, Nupur eDasgupta, Gregory eGrabowski
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-02-01
Series:Frontiers in Genetics
Subjects:
RNA-Seq
differential expression
microarray gene expression
transcriptome dynamics
single-series of time course
multi-series of time course
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00035/full

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http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00035/full

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