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  2. 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 ...

  3. Multiple sequence alignment - Wikipedia

    en.wikipedia.org/wiki/Multiple_sequence_alignment

    Multiple sequence alignment (MSA) is the process or the result of sequence alignment of three or more biological sequences, generally protein, DNA, or RNA. These alignments are used to infer evolutionary relationships via phylogenetic analysis and can highlight homologous features between sequences.

  4. 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.

  5. 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.

  6. Sequence analysis - Wikipedia

    en.wikipedia.org/wiki/Sequence_analysis

    At this step, sequencing reads whose quality have been improved are mapped to a reference genome using alignment tools like BWA [17] for short DNA sequence reads, minimap [18] for long read DNA sequences, and STAR [19] for RNA sequence reads. The purpose of mapping is to find the origin of any given read based on the reference sequence.

  7. Genomics of personality traits - Wikipedia

    en.wikipedia.org/wiki/Genomics_of_personality_traits

    For humans, the Big Five personality traits, also known as the five-factor model (FFM) or the OCEAN model, is the prevailing model for personality traits. When factor analysis (a statistical technique) is applied to personality survey data, some words or questionnaire items used to describe aspects of personality are often applied to the same person.

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  9. Sequence homology - Wikipedia

    en.wikipedia.org/wiki/Sequence_homology

    Sequence homology is the biological homology between DNA, RNA, or protein sequences, defined in terms of shared ancestry in the evolutionary history of life. Two segments of DNA can have shared ancestry because of three phenomena: either a speciation event (orthologs), or a duplication event (paralogs), or else a horizontal (or lateral) gene ...