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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
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.
Binary Alignment Map (BAM) is the comprehensive raw data of genome sequencing; [1] it consists of the lossless, compressed binary representation of the Sequence Alignment Map-files. [2] [3] BAM is the compressed binary representation of SAM (Sequence Alignment Map), a compact and index-able representation of nucleotide sequence alignments. [4]
Alignment of 27 avian influenza hemagglutinin protein sequences colored by residue conservation (top) and residue properties (bottom) 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.
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 ...
In molecular biology and genetics, DNA annotation or genome annotation is the process of describing the structure and function of the components of a genome, [2] by analyzing and interpreting them in order to extract their biological significance and understand the biological processes in which they participate. [3]
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.
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.