The EM Algorithm and the Rise of Computational Biology

Details The EM Algorithm and the Rise of Computational Biology The EM Algorithm and the Rise of Computational Biology

2011-04-12

arxiv.org/abs/1104.2180v1

Statistical Science 2010, Vol. 25, No. 4, 476-491

Statistics

Methodology

Published in at http://dx.doi.org/10.1214/09-STS312 the Statistical Science (http://www.imstat.org/sts/) by the Institute of M

Scientific paper

10.1214/09-STS312

In the past decade computational biology has grown from a cottage industry with a handful of researchers to an attractive interdisciplinary field, catching the attention and imagination of many quantitatively-minded scientists. Of interest to us is the key role played by the EM algorithm during this transformation. We survey the use of the EM algorithm in a few important computational biology problems surrounding the "central dogma"; of molecular biology: from DNA to RNA and then to proteins. Topics of this article include sequence motif discovery, protein sequence alignment, population genetics, evolutionary models and mRNA expression microarray data analysis.

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