tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

HH-MOtif-TreeFinder HH-MOTiF

Online

Combines hidden Markov model (HHM) comparisons with a hierarchical representation of identified SLiMs in motif trees. HH-MOTiF is a web-server that can find remotely conserved motifs in data sets with low-complexity regions or high redundancy. It makes use of evolutionary information by creating HMMs for each input sequence and its orthologs. Finally, this method can detect several independent motif trees that occur in independent, possibly overlapping subsets of the provided input sequences.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

HH-MOTiF forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

HH-MOTiF classification

HH-MOTiF specifications

Interface:
Web user interface
Input data:
The input set must contain full protein sequences.
Output format:
TXT
Computer skills:
Basic
Requirements:
JavaScript
Restrictions to use:
None
Input format:
FASTA, ZIP
Programming languages:
C++, Python
Stability:
Stable
Maintained:
Yes

HH-MOTiF support

Maintainer

  • Bianca Habermann <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

Publications

Institution(s)

Computational Biology Group, Max Planck Institute of Biochemistry, Martinsried, Germany; Research Group Quantitative Biology and Bioinformatics, Max Planck Institute for Biophysical Chemistry, Gottingen, Germany; Computational Biology Group, Developmental Biology Institute of Marseille (IBDM) UMR 7288, CNRS, Aix Marseille Universite, Marseille, France

Funding source(s)

This work was supported by the Max Planck Society and the CNRS.

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.