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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
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 ...
PHP language toolkit with classes for DNA and protein sequence analysis, alignment, database parsing, and other bioinformatics tools Cross-platform: GPL v2 Open Bioinformatics Foundation: Biopython: Python language toolkit Cross-platform: Biopython [2] Open Bioinformatics Foundation: BioRuby: Ruby language toolkit Linux, macOS, Windows [3] GPL ...
Multiple sequence alignment: Clustal W and O, MUSCLE, Kalign, MAFFT, T-Coffee; Create and use shared storage, e.g., lab database; Search through online databases: National Center for Biotechnology Information (NCBI), Protein Data Bank (PDB), UniProtKB/Swiss-Prot, UniProtKB/TrEMBL, DAS servers; Local and NCBI Genbank BLAST search; Open reading ...
A profile HMM modelling a multiple sequence alignment. HMMER is a free and commonly used software package for sequence analysis written by Sean Eddy. [2] Its general usage is to identify homologous protein or nucleotide sequences, and to perform sequence alignments.
The chosen edge is deleted, dividing the tree into two subtrees. The profile of the multiple alignment is then computed for each subtree. A new multiple sequence alignment is produced by re-aligning the subtree profiles. If the SP score is improved, the new alignment is kept, otherwise, it is discarded.
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.
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.