Global alignment: Difference between revisions

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In the process of global alignment, a DNA or a query sequence dictates the length of putative homologs. Based on sequence similarity to query, the top matches are generated by a given algorithm. The matches must bear similarity to the entire query sequence and any sequence having partial similarity to query will be excluded from the matches.
Global alignment between two or more sequences forces the sequences to be aligned from the beginning to end of all sequences. It gives the best possible alignment between the sequences based on the scores assigned to each possible alignment. [http://www.en.wikipedia.org/wiki/Needleman-Wunsch_algorithm Needleman-Wunsh] algorithm is often used for global alignments.
In case of global-local alignment, the word "global" applies to the query and "local" applies to the hit. The matches have only partial similarity to the query and here, the query does not dictate the length of matches.

Latest revision as of 00:15, 29 September 2009

Global alignment between two or more sequences forces the sequences to be aligned from the beginning to end of all sequences. It gives the best possible alignment between the sequences based on the scores assigned to each possible alignment. Needleman-Wunsh algorithm is often used for global alignments.