Library Science

This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis and informatics. On the methods side are proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray experiments, the choice of test statistic, and the assessment of observational significance, data reduction, and clustering.

 M.J. Brownstein, A.B.Khodursky

Download Book 

Table of Contents

1. Fabrication of cDNA Microarrays (pp. 01-08)
   Xiang, Charlie C.; Brownstein, Michael J.
2. Nylon cDNA Expression Arrays (pp. 09-30)
   Jokhadze, George; Chen, Stephen; Granger, Claire; Chenchik, Alex
3. Plastic Microarrays: A Novel Array Support Combining the Benefi ts of Macro- and Microarrays (pp. 31-54)
   Munishkin, Alexander; Faulstich, Konrad; Aivazachvili, Vissarion; Granger, Claire; Chenchik, Alex
4. Preparing Fluorescent Probes for Microarray Studies (pp. 55-60)
   Xiang, Charlie C.; Brownstein, Michael J.
5. Escherichia coli Spotted Double-Strand DNA Microarrays: RNA Extraction, Labeling, Hybridization, Quality Control, and Data Management (pp. 61-78)
   Khodursky, Arkady B.; Bernstein, Jonathan A.; Peter, Brian J.; Rhodius, Virgil; Wendisch, Volker F.; Zimmer, Daniel P.
6. Isolation of Polysomal RNA for Microarray Analysis (pp. 79-88)
   Arava, Yoav
7. Parallel Analysis of Gene Copy Number and Expression Using cDNA Microarrays (pp. 89-98)
   Pollack, Jonathan R.
8. Genome-wide Mapping of Protein-DNA Interactions by Chromatin Immunoprecipitation and DNA Microarray Hybridization (pp. 99-110)
   Lieb, Jason D.
9. Statistical Issues in cDNA Microarray Data Analysis (pp. 111-136)
   Smyth, Gordon K.; Yang, Yee Hwa; Speed, Terry
10. Experimental Design to Make the Most of Microarray Studies (pp. 137-148)
    Kerr, M. Kathleen
11. Statistical Methods for Identifying Differentially Expressed Genes in DNA Microarrays (pp. 149-158)
    Storey, John D.; Tibshirani, Robert
12. Detecting Stable Clusters Using Principal Component Analysis (pp. 159-182)
    Ben-Hur, Asa; Guyon, Isabelle
13. Clustering in Life Sciences (pp. 183-218)
    Zhao, Ying; Karypis, George
14. A Primer on the Visualization of Microarray Data (pp. 219-234)
    Fawcett, Paul
15. Microarray Databases: Storage and Retrieval of Microarray Data (pp. 235-248 )
    Sherlock, Gavin; Ball, Catherine A.

This entry was posted on Wednesday, April 18th, 2007 at 5:30 pm and is filed under Library. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.