Package: theseus (3.3.0-5)
Links for theseus
Download Source Package theseus:
Please consider filing a bug before contacting the maintainer directly.
Original Maintainers (usually from Debian):
- Debian Med Packaging Team (Mail Archive)
- Andreas Tille
It should generally not be necessary for users to contact the original maintainer.
- Homepage [www.theseus3d.org]
Warning: This package is from the staging distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it. The package will automatically migrate to the current development distribution, when it has been tested.
superimpose macromolecules using maximum likelihood
Theseus is a program that simultaneously superimposes multiple macromolecular structures. Theseus finds the optimal solution to the superposition problem using the method of maximum likelihood. By down-weighting variable regions of the superposition and by correcting for correlations among atoms, the ML superposition method produces very accurate structural alignments.
When macromolecules with different residue sequences are superimposed, other programs and algorithms discard residues that are aligned with gaps. Theseus, however, uses a novel superimposition algorithm that includes all of the data.
Other Packages Related to theseus
- dep: clustalo
- General purpose multiple sequence alignment program for proteins
- dep: libgsl2
- GNU Scientific Library (GSL) -- library package
- dep: muscle
- Multiple alignment program of protein sequences
- sug: clustalw
- global multiple nucleotide or peptide sequence alignment
- sug: dialign
- Segment-based multiple sequence alignment
- sug: kalign
- Global and progressive multiple sequence alignment
- sug: mafft
- Multiple alignment program for amino acid or nucleotide sequences
- sug: probcons
- PROBabilistic CONSistency-based multiple sequence alignment
- sug: t-coffee
- Multiple Sequence Alignment
- sug: theseus-examples
- superimpose macromolecules using maximum likelihood (examples)