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Expression-based reverse engineering of plant transcriptional networks

By Federico Giorgi

Product Image: Expression-based reverse engineering of plant transcriptional networks

Expression-based reverse engineering of plant transcriptional networks

By Federico Giorgi

0 - Default Title
Description
Regulation of gene transcription plays a major role in mediating cellular responses and physiological behavior in all known organisms. The finding that similar genes are often regulated in a similar manner (co-regulated or "co-expressed") has directed several "guilt-by-association" approaches in order to reverse-engineer the cellular transcriptional networks using gene expression data as a compass. This kind of studies has been considerably assisted in the recent years by the development of high-throughput transcript measurement platforms, specifically gene microarrays and next-generation sequencing. In this work, several approaches are described for improving the extraction and interpretation of the information contained in plant transcriptional data, obtained from microarrays or through next generation sequencing. Applications of these theoretical approaches, ranging from Pearson correlation to LASSO and hybrid methods, are described for the reverse engineering of tuber growth transcriptional networks, for the prediction of essential genes and in the task of defining the full transcriptome of the extremophile plant Thellungiella salsuginea.
Product details
Binding:
Paperback
Number of Pages:
156
Release Date:
2012-03-26
Publication Date:
2012-01-31
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
3846584649
ISBN13:
9783846584644
GPSR Manufacturer Reference:
[email protected]
Weight:
250 g
Height:
150 cm
Width:
220 cm
Thickness:
10 cm
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