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The alignment of unrelated sequences tends to produce optimal local alignment scores which follow an extreme value distribution. This property allows programs to produce an expectation value for the optimal local alignment of two sequences, which is a measure of how often two unrelated sequences would produce an optimal local alignment whose ...
Calculating a global alignment is a form of global optimization that "forces" the alignment to span the entire length of all query sequences. By contrast, local alignments identify regions of similarity within long sequences that are often widely divergent overall. Local alignments are often preferable, but can be more difficult to calculate ...
Local or global: Wernersson and Pedersen: 2003 (newest version 2005) SAGA Sequence alignment by genetic algorithm: Protein: Local or global: C. Notredame et al. 1996 (new version 1998) SAM Hidden Markov model: Protein: Local or global: A. Krogh et al. 1994 (most recent version 2002) Se-Al Manual alignment: Both: Local: A. Rambaut: 2002: StatAlign
This expectation or expect value "E" (often called an E score or E-value or e-value) assessing the significance of the HSP score for un-gapped local alignment is reported in the BLAST results. The calculation shown here is modified if individual HSPs are combined, such as when producing gapped alignments (described below), due to the variation ...
The rest of this article is focused on only multiple global alignments of homologous proteins. The first two are a natural consequence of most representations of alignments and their annotation being human-unreadable and best portrayed in the familiar sequence row and alignment column format, of which examples are widespread in the literature.
The guide tree in the initial versions of Clustal was constructed via a UPGMA cluster analysis of the pairwise alignments, hence the name CLUSTAL. [11] cf. [12] The first four versions of Clustal were numbered using Arabic numerals (1 to 4), whereas the fifth version uses the Roman numeral V. [11] cf. [13] [5] The next two versions proceed alphabetically using the Latin alphabet, with W ...
BLAT (BLAST-like alignment tool) is a pairwise sequence alignment algorithm that was developed by Jim Kent at the University of California Santa Cruz (UCSC) in the early 2000s to assist in the assembly and annotation of the human genome. [1]
The original GDT_TS is calculated based on the superimpositions and GDT scores produced by the Local-Global Alignment (LGA) program. [1] A "high accuracy" version called GDT_HA is computed by selection of smaller cutoff distances (half the size of GDT_TS) and thus more heavily penalizes larger deviations from the reference structure.