Computational analysis of microarray data.
Microarray experiments are providing unprecedented quantities of genome-wide data on gene-expression patterns. Although this technique has been enthusiastically developed and applied in many biological contexts, the management and analysis of the millions of data points that result from these experiments has received less attention. Sophisticated computational tools are available, but the methods that are used to analyse the data can have a profound influence on the interpretation of the results. A basic understanding of these computational tools is therefore required for optimal experimental design and meaningful data analysis.
Quackenbush
J
J
The Institute for Genomic Research, 9,712 Medical Center Drive, Rockville, Maryland 20850, USA. johnq@tigr.org
D000465:Algorithms; D019295:Computational Biology; D015342:DNA Probes; D003625:Data Collection; D020869:Gene Expression Profiling; D020411:Oligonucleotide Array Sequence Analysis
D015342:DNA Probes