neksa / protein-sequence-motifs

Tools to derive prototypical sequence motifs of functional and structural protein units of sub-domain size

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Protein sequence motif derivation with extreme sensitivity

Alexander Goncearenco (developed in 2007-2012 at the University of Bergen, Norway)

Designed to derive sequence motifs of elementary functional loops (EFL) in proteins.

Supports MPI parallelization.

The package contains:

  • converge - find conserved motifs in sequence

  • clustering - reduce the number of derived motifs by combining the similar ones

  • search - find matches of a predefined motif in sequece database

Utilities:

  • findPermutatons.R - find positional permutations that destroy relative positional distances and hence the natural motif

  • convertMSA.pl - convert multiple sequence alignment to initial motif

  • composition.csv - average prokaryotic proteomic composition

  • profile_logo.py - generate profile logo graphics

Check other branches as well for modifications.

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Tools to derive prototypical sequence motifs of functional and structural protein units of sub-domain size


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