Combinatorial approaches to gene recognition

被引:12
作者
Roytberg, MA
Astakhova, TV
Gelfand, MS
机构
[1] RUSSIAN ACAD SCI,INST PROT RES,PUSHCHINO 142292,RUSSIA
[2] RUSSIAN ACAD SCI,INST MATH PROBLEMS BIOL,PUSHCHINO 142292,RUSSIA
来源
COMPUTERS & CHEMISTRY | 1997年 / 21卷 / 04期
基金
以色列科学基金会;
关键词
EXON-INTRON STRUCTURE; CODING REGIONS; DNA-SEQUENCES; GENOMIC DNA; PREDICTION; IDENTIFICATION; ALIGNMENT;
D O I
10.1016/S0097-8485(96)00034-4
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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. (C) 1997 Elsevier Science.
引用
收藏
页码:229 / 235
页数:7
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