Machine Learning - Special issue on applications in molecular biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Bioinformatics: the machine learning approach
Bioinformatics: the machine learning approach
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During the last decade, molecular biology has been transformed by the newly established methods for high-throughput collection of gene-related information such as industrial DNA sequencing, gene amplification by PCR, and microarrays for reading DNA and for measuring gene expression levels. Issues related to the mining of the huge amounts of generated raw data have been addressed by bioinformatics, a new discipline at the interface of molecular biology and computing. This article addresses the following four general areas of computerized knowledge discovery in molecular biology: mining of DNA and protein sequence databases, reconstruction of the molecular past, understanding consequences of genetic variation, and reverse engineering of genetic networks.