Methods in Enzymology, Vol. 411: DNA Microarrays, Part B: Databases and Statistics (Volume 411)

Kimmel, A. & Oliver, B. (eds)

ISBN 10: 0121828166 / ISBN 13: 9780121828165

Edité par Elsevier, 2006

A propos de cet article

Volume 411. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780121828165. N° de réf. du vendeur 9920313

Détails bibliographiques

Titre : Methods in Enzymology, Vol. 411: DNA ...

Éditeur : Elsevier

Date d'édition : 2006

Reliure : Couverture rigide

Etat : Good

A propos de ce titre

Synopsis :

Book by None

Présentation de l'éditeur:

Modern DNA microarray technologies have evolved over the past 25 years to the point where it is now possible to take many million measurements from a single experiment. These two volumes, Parts A & B in the Methods in Enzymology series provide methods that will shepard any molecular biologist through the process of planning, performing, and publishing microarray results.

Part A starts with an overview of a number of microarray platforms, both commercial and academically produced and includes wet bench protocols for performing traditional expression analysis and derivative techniques such as detection of transcription factor occupancy and chromatin status. Wet-bench protocols and troubleshooting techniques continue into Part B. These techniques are well rooted in traditional molecular biology and while they require traditional care, a researcher that can reproducibly generate beautiful Northern or Southern blots should have no difficulty generating beautiful array hybridizations.

Data management is a more recent problem for most biologists. The bulk of Part B provides a range of techniques for data handling. This includes critical issues, from normalization within and between arrays, to uploading your results to the public repositories for array data, and how to integrate data from multiple sources. There are chapters in Part B for both the debutant and the expert bioinformatician.

· Provides an overview of platforms
· Includes experimental design and wet bench protocols
· Presents statistical and data analysis methods, array databases, data visualization and meta analysis