Genomic alignment

J Mol Evol. 1994 Mar;38(3):310-6. doi: 10.1007/BF00176094.

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.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Amino Acid Sequence
  • Base Sequence
  • DNA, Viral / genetics
  • Genes, gag
  • Genes, pol
  • HIV-1 / genetics
  • HIV-2 / genetics
  • Molecular Sequence Data
  • Reading Frames
  • Sequence Alignment / methods*
  • Software

Substances

  • DNA, Viral