| Literature DB >> 8006999 |
Abstract
As sequencing techniques become increasingly efficient, the average length of a sequence is bound to grow. Traditional sequence-comparison algorithms can either compare DNA or protein, but not a mixture, which is actually a common situation. Most obtained DNA sequences contain coding regions, and it is more reliable to compare the coding regions as protein than just as DNA. A heuristic algorithm is presented that can compare DNA with both coding and noncoding regions, but that also can compare multiple reading frames and determine which exons are homologous. A program, GenA1 (Genomic Alignment), was developed that implements the algorithm. Its use is demonstrated on two retroviruses.Mesh:
Substances:
Year: 1994 PMID: 8006999 DOI: 10.1007/BF00176094
Source DB: PubMed Journal: J Mol Evol ISSN: 0022-2844 Impact factor: 2.395