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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 ...
Currently has 3 modules: a sequence conservation explorer that includes homology relationships and single nucleotide polymorphism data, a protein structure model explorer, a molecular interaction network explorer, a gene product subcellular localization explorer, and a gene expression pattern explorer.
CS-BLAST: Sequence-context specific BLAST, more sensitive than BLAST, FASTA, and SSEARCH. Position-specific iterative version CSI-BLAST more sensitive than PSI-BLAST: Protein: Angermueller C, Biegert A, Soeding J [3] 2013 CUDASW++ GPU accelerated Smith Waterman algorithm for multiple shared-host GPUs: Protein: Liu Y, Maskell DL and Schmidt B ...
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]
Here, is the probability of two amino acids and replacing each other in a homologous sequence, and and are the background probabilities of finding the amino acids and in any protein sequence. The factor λ {\displaystyle \lambda } is a scaling factor, set such that the matrix contains easily computable integer values.
There are millions of protein and nucleotide sequences known. These sequences fall into many groups of related sequences known as protein families or gene families. Relationships between these sequences are usually discovered by aligning them together and assigning this alignment a score. There are two main types of sequence alignment.
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.
An example of this is the Human Succinyl coA Transferase enzyme, which is found as one protein in humans but as two separate proteins, Acetate coA Transferase alpha and Acetate coA Transferase beta, in Escherichia coli. [3] In order to identify these sequences, a sequence similarity algorithm such as the one used by BLAST is necessary.