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.
module spider magus to find out what environment modules are available for this application.
- HPC_MAGUS_DIR - installation directory
- HPC_MAGUS_BIN - executable directory
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