
doi: 10.1007/bf00176094
pmid: 8006999
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.
Reading Frames, Base Sequence, Molecular Sequence Data, Genes, gag, Genes, pol, DNA, Viral, HIV-2, HIV-1, Amino Acid Sequence, Sequence Alignment, Algorithms, Software
Reading Frames, Base Sequence, Molecular Sequence Data, Genes, gag, Genes, pol, DNA, Viral, HIV-2, HIV-1, Amino Acid Sequence, Sequence Alignment, Algorithms, Software
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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