
A simple method of sequence comparison, based on a correlation analysis of oligonucleotide frequency distributions, is here shown to be a reliable test of overall sequence similarity. The method does not involve sequence alignment procedures and permits the rapid screening of large amounts of sequence data. It identifies those sequences which deserve more careful analysis of sequence similarity at the level of resolution of the single nucleotide. It uses observed quantities only and does not involve the adoption of any theoretical model.
Base Composition, Genome, Base Sequence, Databases, Factual, Molecular Sequence Data, Oligonucleotides, Sequence Homology, Nucleic Acid, Animals, Humans, Algorithms, Mathematics, Software
Base Composition, Genome, Base Sequence, Databases, Factual, Molecular Sequence Data, Oligonucleotides, Sequence Homology, Nucleic Acid, Animals, Humans, Algorithms, Mathematics, 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% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
