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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 ...
Search for ncRNAs in genomes by partition function local alignment: Nucleotide Sequerome: Profiling sequence alignment data with major servers/services: Nucleotide, peptide Sequilab Profiling sequence alignment data from NCBI-BLAST results with major servers-services: Nucleotide, peptide Shuffle-LAGAN Pairwise global alignment of completed ...
For multiple sequences the last row in each column is often the consensus sequence determined by the alignment; the consensus sequence is also often represented in graphical format with a sequence logo in which the size of each nucleotide or amino acid letter corresponds to its degree of conservation.
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.
BLAT connects each homologous area between two sequences into a single larger alignment, in contrast to BLAST which returns each homologous area as a separate local alignment. The result of BLAST is a list of exons with each alignment extending just past the end of the exon. BLAT, however, correctly places each base of the mRNA onto the genome ...
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 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.
The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings of nucleic acid sequences or protein sequences. Instead of looking at the entire sequence, the Smith–Waterman algorithm compares segments of all possible lengths and optimizes the similarity measure .