Title
Combinatorial approaches to gene recognition
Abstract
Recognition of genes via exon assembly approaches leads naturally to the use of dynamic programming. We consider the general graph-theoretical formulation of the exon assembly problem and analyze in detail some specific variants: multicriterial optimization in the case of non-linear gene-scoring functions; context-dependent schemes for scoring exons and related procedures for exon filtering; and highly specific recognition of arbitrary gene segments, oligonucleotide probes and polymerase chain reaction (PCR) primers.‡‡Described programs are available at http://wwww-hto.usc.edu/software/procrustes/
Year
DOI
Venue
1997
10.1016/S0097-8485(96)00034-4
Computers & Chemistry
Keywords
Field
DocType
score function,oligonucleotide probe,context dependent,polymerase chain reaction
Dynamic programming,Gene,Polymerase chain reaction,Biology,Exon,Oligonucleotide,Bioinformatics,Genetics
Journal
Volume
Issue
ISSN
21
4
0097-8485
Citations 
PageRank 
References 
6
0.71
4
Authors
3
Name
Order
Citations
PageRank
Mikhail A. Roytberg111454.66
Tatiana V. Astakhova2152.26
Mikhail S. Gelfand360.71