Expressionbased reverse engineering of plant transcriptional networks: A practical study on the interpretation of Next Generati,Used

Expressionbased reverse engineering of plant transcriptional networks: A practical study on the interpretation of Next Generati,Used

In Stock
SKU: DADAX3846584649
Brand: LAP Lambert Academic Publishing
$100.00 $142.86
Save $42.86
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

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 (coregulated or "coexpressed") has directed several "guiltbyassociation" approaches in order to reverseengineer 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 highthroughput transcript measurement platforms, specifically gene microarrays and nextgeneration 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.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed