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MUltiple Sequence Comparison by Log-Expectation (MUSCLE) is a computer software for multiple sequence alignment of protein and nucleotide sequences. It is licensed as public domain. The method was published by Robert C. Edgar in two papers in 2004. The first paper, published in Nucleic Acids Research, introduced the sequence alignment algorithm ...
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 ...
The fourth is a great example of how interactive graphical tools enable a worker involved in sequence analysis to conveniently execute a variety if different computational tools to explore an alignment's phylogenetic implications; or, to predict the structure and functional properties of a specific sequence, e.g., comparative modelling.
Alignment Editor ― Within MEGA, the Alignment Editor is a tool that may be used for editing and building multiple sequence alignments. The Alignment Editor in MEGA includes an integrated tool for both ClustalW and MUSCLE programs. All actions take place in the Analysis Explorer, which can be found in the main menu of MEGA.
A sequence alignment is a way of arranging the sequences of protein, RNA or DNA, to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences. The concept initially compares only two such sequences in the so called pairwise alignment.
Fast statistical alignment or FSA is a multiple sequence alignment program for aligning many proteins, RNAs, or long genomic DNA sequences. Along with MUSCLE and MAFFT, FSA is one of the few sequence alignment programs which can align datasets of hundreds or thousands of sequences. FSA uses a different optimization criterion which allows it to ...
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Features include chromatogram editing, end clipping, and vector trimming, sequence assembly and contig editing, aligning cDNA against genomic templates, sequence alignment and editing, alignment of contigs to each other with ClustalW, MUSCLE, or built-in algorithms, mutation detection, including detection of heterozygous single-nucleotide polymorphism, analysis of heterozygous insertions and ...
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