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In bioinformatics, BLAST (basic local alignment search tool) [3] is an algorithm and program for comparing primary biological sequence information, such as the amino-acid sequences of proteins or the nucleotides of DNA and/or RNA sequences. A BLAST search enables a researcher to compare a subject protein or nucleotide sequence (called a query ...
BLAST, on the other hand, builds an index of the query sequences and searches through the database for matches. [1] A BLAST variant called MegaBLAST indexes 4 databases to speed up alignments. [9] BLAT can extend on multiple perfect and near-perfect matches (default is 2 perfect matches of length 11 for nucleotide searches and 3 perfect matches ...
Linking and profiling sequence alignment data from NCBI-BLAST results with major sequence analysis servers/services: Nucleotide, peptide: 2010 SAM Local and global search with profile Hidden Markov models, more sensitive than PSI-BLAST: Both: Karplus K, Krogh A [15] 1999 SSEARCH Smith-Waterman search, slower but more sensitive than FASTA: Both ...
This page is a subsection of the list of sequence alignment software. Multiple alignment visualization tools typically serve four purposes: Aid general understanding of large-scale DNA or protein alignments; Visualize alignments for figures and publication; Manually edit and curate automatically generated alignments; Analysis in depth
A sequence profiling tool in bioinformatics is a type of software that presents information related to a genetic sequence, gene name, or keyword input. Such tools generally take a query such as a DNA, RNA, or protein sequence or ‘keyword’ and search one or more databases for information related to that sequence.
MNHN-Tree-Tools is an opensource phylogenetics inference software working on nucleic and protein sequences. Clustering of DNA or protein sequences and phylogenetic tree inference from a set of sequences. At the core it employs a distance-density based approach. Thomas Haschka, Loïc Ponger, Christophe Escudé and Julien Mozziconacci [28 ...
A common use for pairwise sequence alignment is to take a sequence of interest and compare it to all known sequences in a database to identify homologous sequences. In general, the matches in the database are ordered to show the most closely related sequences first, followed by sequences with diminishing similarity.
One would use a higher numbered BLOSUM matrix for aligning two closely related sequences and a lower number for more divergent sequences. It turns out that the BLOSUM62 matrix does an excellent job detecting similarities in distant sequences, and this is the matrix used by default in most recent alignment applications such as BLAST .