Difference between revisions of "Magus"
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| − | + | MAGUS is a tool for piecewise large-scale multiple sequence alignment. | |
| + | The dataset is divided into subsets, which are independently aligned with a base method (currently MAFFT -linsi). These subalignments are merged together with the Graph Clustering Merger (GCM). GCM builds the final alignment by clustering an alignment graph, which is constructed from a set of backbone alignments. This process allows MAGUS to effectively boost MAFFT -linsi to over a million sequences. | ||
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Latest revision as of 17:51, 16 March 2022
Description
MAGUS is a tool for piecewise large-scale multiple sequence alignment. The dataset is divided into subsets, which are independently aligned with a base method (currently MAFFT -linsi). These subalignments are merged together with the Graph Clustering Merger (GCM). GCM builds the final alignment by clustering an alignment graph, which is constructed from a set of backbone alignments. This process allows MAGUS to effectively boost MAFFT -linsi to over a million sequences.
Environment Modules
Run module spider magus to find out what environment modules are available for this application.
System Variables
- HPC_MAGUS_DIR - installation directory
- HPC_MAGUS_BIN - executable directory
Citation
If you publish research that uses magus you have to cite it as follows:
Original MAGUS paper: Smirnov, V. and Warnow, T., 2020. MAGUS: Multiple Sequence Alignment using Graph Clustering. Bioinformatics. https://doi.org/10.1093/bioinformatics/btaa992