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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
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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