Haplotype Motifs: An Algorithmic Approach to Locating Evolutionarily Conserved Patterns in Haploid Sequences

Abstract

The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult to locate by prior methods. Much recent interest in this problem has focused on using haplotypes (contiguous regions of correlated genetic variations), instead of the isolated… (More)
DOI: 10.1109/CSB.2003.1227331

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@article{Schwartz2003HaplotypeMA, title={Haplotype Motifs: An Algorithmic Approach to Locating Evolutionarily Conserved Patterns in Haploid Sequences}, author={Russell Schwartz}, journal={Proceedings. IEEE Computer Society Bioinformatics Conference}, year={2003}, volume={2}, pages={306-14} }