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  2. Sequence alignment - Wikipedia

    en.wikipedia.org/wiki/Sequence_alignment

    Multiple sequence alignment is an extension of pairwise alignment to incorporate more than two sequences at a time. Multiple alignment methods try to align all of the sequences in a given query set. Multiple alignments are often used in identifying conserved sequence regions across a group of sequences hypothesized to be evolutionarily related.

  3. Multiple sequence alignment - Wikipedia

    en.wikipedia.org/wiki/Multiple_sequence_alignment

    For n individual sequences, the naive method requires constructing the n-dimensional equivalent of the matrix formed in standard pairwise sequence alignment. The search space thus increases exponentially with increasing n and is also strongly dependent on sequence length.

  4. List of sequence alignment software - Wikipedia

    en.wikipedia.org/wiki/List_of_sequence_alignment...

    This list of sequence alignment software is a compilation of software tools and web portals used in pairwise sequence alignment and multiple sequence alignment. See structural alignment software for structural alignment of proteins.

  5. Needleman–Wunsch algorithm - Wikipedia

    en.wikipedia.org/wiki/Needleman–Wunsch_algorithm

    Recent development has focused on improving the time and space cost of the algorithm while maintaining quality. For example, in 2013, a Fast Optimal Global Sequence Alignment Algorithm (FOGSAA), [9] suggested alignment of nucleotide/protein sequences faster than other optimal global alignment methods, including the Needleman–Wunsch algorithm ...

  6. Clustal - Wikipedia

    en.wikipedia.org/wiki/Clustal

    A pairwise alignment is produced using the k-tuple method.This is a heuristic method that isn't guaranteed to find an optimal solution, but is more efficient than using dynamic programming. Sequences are clustered using the modified mBed method. [22] The mBed method calculates pairwise distance using sequence embedding.

  7. T-Coffee - Wikipedia

    en.wikipedia.org/wiki/T-Coffee

    T-Coffee (Tree-based Consistency Objective Function for Alignment Evaluation) is a multiple sequence alignment software using a progressive approach. [1] It generates a library of pairwise alignments to guide the multiple sequence alignment.

  8. List of alignment visualization software - Wikipedia

    en.wikipedia.org/wiki/List_of_alignment...

    This page is a subsection of the list of sequence alignment software. Multiple alignment visualization tools typically serve four purposes: Aid general understanding of large-scale DNA or protein alignments; Visualize alignments for figures and publication; Manually edit and curate automatically generated alignments; Analysis in depth

  9. Distance matrix - Wikipedia

    en.wikipedia.org/wiki/Distance_matrix

    Multiple sequence alignment is an extension of pairwise alignment to align several sequences at a time. Different MSA methods are based on the same idea of the distance matrix as global and local alignments. Center star method. This method defines a center sequence S c which minimizes the distance between the sequence S c and any other sequence ...