Rank order metrics for quantifying the association of sequence features with gene regulation
Open Access
- 22 January 2003
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 19 (2) , 212-218
- https://doi.org/10.1093/bioinformatics/19.2.212
Abstract
Motivation: With complete knowledge of the human genome sequence, one of the most interesting tasks remaining is to understand the functions of individual genes and how they communicate. Using the information about genes (locus, allele, mutation rate, fitness, etc.), we attempt to explain population demographic data. This population evolution study could complement and enhance biologists’ understanding about genes.Keywords
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