Balík: theseus (3.3.0-14 a iné)

[ Zdroj: theseus  ]

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.

Značky: Biológia: Proteins, Pole: Biológia, field::biology:bioinformatics, field::biology:structural, Implementované v: C, User Interface: interface::commandline, role::program, Purpose: Analyzovanie, use::comparing, works-with-format::plaintext

Ostatné balíky súvisiace s balíkom theseus

• dep: clustalo

  General-purpose multiple sequence alignment program for proteins

• dep: libc6 (>= 2.34)

  knižnica GNU C - zdieľané knižnice
  tiež virtuálny balík poskytovaný balíkom libc6-udeb

• dep: libgsl28 (>= 2.8+dfsg)

  GNU Scientific Library (GSL) - balík knižnice

• dep: muscle

  Multiple alignment program of protein sequences

• sug: clustalw

  globálne viacnásobné zarovnávanie sekvencií nukleotidov alebo peptidov

• 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)

Stiahnuť theseus

Stiahnuť pre všetky dostupné architektúry

Architektúra	Verzia	Veľkosť balíka	Nainštalovaná veľkosť	Súbory
i386	3.3.0-14+b1	287.4 kB	839.0 kB	[zoznam súborov]