Algorithms on strings | Bioinformatics algorithms | Sequence alignment algorithms

Sequence alignment

In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences. Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix. Gaps are inserted between the residues so that identical or similar characters are aligned in successive columns.Sequence alignments are also used for non-biological sequences, such as calculating the distance cost between strings in a natural language or in financial data. (Wikipedia).

Sequence alignment
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Related pages

DNA | Multiple sequence alignment | Main diagonal | Genetic algorithm | Phylogenetic tree | Probability | Dynamic programming | Information content | Substitution matrix | Simulated annealing | Bowtie (sequence analysis) | Edit distance | Burrows–Wheeler transform | Hidden Markov model | FM-index | Recurrence plot | Distance matrix | Needleman–Wunsch algorithm | Optimal matching | Dot plot (bioinformatics) | Global optimization | BLOSUM | Amino acid | Smith–Waterman algorithm | Matrix (mathematics) | Maximal unique match | Sequence logo