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  2. 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

  3. List of sequence alignment software - Wikipedia

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

    Combines DNA and Protein alignment, by back translating the protein alignment to DNA. DNA/Protein (special) Local or global: Wernersson and Pedersen: 2003 (newest version 2005) SAGA Sequence alignment by genetic algorithm: Protein: Local or global: C. Notredame et al. 1996 (new version 1998) SAM Hidden Markov model: Protein: Local or global: A ...

  4. Sequence alignment - Wikipedia

    en.wikipedia.org/wiki/Sequence_alignment

    Global alignments, which attempt to align every residue in every sequence, are most useful when the sequences in the query set are similar and of roughly equal size. (This does not mean global alignments cannot start and/or end in gaps.) A general global alignment technique is the Needleman–Wunsch algorithm, which is based on dynamic ...

  5. SAMtools - Wikipedia

    en.wikipedia.org/wiki/SAMtools

    SAMtools is a set of utilities for interacting with and post-processing short DNA sequence read alignments in the SAM (Sequence Alignment/Map), BAM (Binary Alignment/Map) and CRAM formats, written by Heng Li. These files are generated as output by short read aligners like BWA.

  6. Smith–Waterman algorithm - Wikipedia

    en.wikipedia.org/wiki/Smith–Waterman_algorithm

    Sequence alignment can also reveal conserved domains and motifs. One motivation for local alignment is the difficulty of obtaining correct alignments in regions of low similarity between distantly related biological sequences, because mutations have added too much 'noise' over evolutionary time to allow for a meaningful comparison of those regions.

  7. Clustal - Wikipedia

    en.wikipedia.org/wiki/Clustal

    The guide tree in the initial versions of Clustal was constructed via a UPGMA cluster analysis of the pairwise alignments, hence the name CLUSTAL. [11] cf. [12] The first four versions of Clustal were numbered using Arabic numerals (1 to 4), whereas the fifth version uses the Roman numeral V. [11] cf. [13] [5] The next two versions proceed alphabetically using the Latin alphabet, with W ...

  8. Sequence assembly - Wikipedia

    en.wikipedia.org/wiki/Sequence_assembly

    In bioinformatics, sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence. [1] This is needed as DNA sequencing technology might not be able to 'read' whole genomes in one go, but rather reads small pieces of between 20 and 30,000 bases, depending on the technology used. [1]

  9. Molecular Evolutionary Genetics Analysis - Wikipedia

    en.wikipedia.org/wiki/Molecular_Evolutionary...

    When a new alignment is being created, the user is presented with three options: create a new alignment, open a saved alignment session, or retrieve sequences from a file (importing sequences from NCBI). Once an option is selected, the user can choose either ClustalW or MUSCLE from the Alignment tab located at the top of the page.