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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 ...
The main diagonal represents the sequence's alignment with itself; lines off the main diagonal represent similar or repetitive patterns within the sequence. In bioinformatics a dot plot is a graphical method for comparing two biological sequences and identifying regions of close similarity after sequence alignment. It is a type of recurrence plot.
Software suite to search and cluster huge sequence sets. Similar sensitivity to BLAST and PSI-BLAST but orders of magnitude faster: Protein: Steinegger M, Mirdita M, Galiez C, Söding J [10] 2017 USEARCH Ultra-fast sequence analysis tool: Both: Edgar, R. C. (2010). "Search and clustering orders of magnitude faster than BLAST". Bioinformatics.
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 of length 4 for protein searches), while BLAST extends only when one or two matches occur close together. [1] [9]
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. Summaries and aggregate ...
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 .
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.