Książka DNA Microarrays, Part B: Databases and Statistics Alan R Kimmel

DNA Microarrays, Part B: Databases and Statistics

Autor: Alan R Kimmel
Język: Angielski
Oprawa: Twarda
Dostępność: Na zamówienie
Wysyłamy za 17-27 dni
687.03
Modern DNA microarray technologies have evolved over the past 25 years to the point where it is now...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2006
strony
512
EAN
9780121828165
ISBN
0121828166
Enbook ID
01197943
Waga
229
Wymiary
152 x 229

Pełny opis

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

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