Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2007-10-12
Journal of Computational Biology. April 2009, 16(4): 579-610.
Biology
Quantitative Biology
Quantitative Methods
55 pages, 2 figures, 2 tables, plain LaTex format. Added additional references, removed Appendix B, changed abstract, minor ch
Scientific paper
10.1089/cmb.2008.0100
We propose a general framework for converting global and local similarities between biological sequences to quasi-metrics. In contrast to previous works, our formulation allows asymmetric distances, originating from uneven weighting of strings, that may induce non-trivial partial orders on sets of biosequences. Furthermore, the $\ell^p$-type distances considered are more general than traditional generalized string edit distances corresponding to the $\ell^1$ case, and enable conversion of sequence similarities to distances for a much wider class of scoring schemes. Our constructions require much less restrictive gap penalties than the ones regularly used. Numerous examples are provided to illustrate the concepts introduced and their potential applications.
Stojmirović Aleksandar
Yu Yi-Kuo
No associations
LandOfFree
Geometric Aspects of Biological Sequence Comparison does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Geometric Aspects of Biological Sequence Comparison, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Geometric Aspects of Biological Sequence Comparison will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-724059