ProSMoS – Protein Structure Motif Search

ProSMoS

:: DESCRIPTION

ProSMoS searches for 3D patterns in protein structures, e.g. find all proteins with a fold defined by a user.

::DEVELOPER

Grishin Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

 ProSMoS

:: MORE INFORMATION

Citation:

S-Y.Shi, B.Chitturi, and N.V.Grishin (2009)
ProSMoS server: a pattern-based search using interaction matrix representation of protein structures.”
Nucl. Acids Res. (2009) doi: 10.1093/nar/gkp316 First published online: May 6, 2009

RISOTTO – Motif Discovery Tool

RISOTTO

:: DESCRIPTION

RISOTTO, extracts (long) conserved regions that occur in a well-ordered and regularly spaced manner in a set of DNA sequences.

::DEVELOPER

Alexandra M. Carvalho

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

  RISOTTO

:: MORE INFORMATION

Citation

Alexandra M. Carvalho, Laurent Marsan and Marie-France Sagot,
RISOTTO: Fast extraction of motifs with mismatches
In J. R. Correa, A. Hevia and M. Kiwi, editors, Proceedings of the 7th Latin American Theoretical Informatics Symposium, volume 3887 of Lecture Notes in Computer Science, pages 757-768. Springer-Verlag, 2006.

GRISOTTO – Motif Discovery Tool

GRISOTTO

:: DESCRIPTION

GRISOTTO, uncovers motifs using prior information from a set of co-regulated DNA sequences.

:DEVELOPER

Alexandra M. Carvalho

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/MacOsx/Linux
  • Java

:: DOWNLOAD

 GRISOTTO

:: MORE INFORMATION

Citation

Alexandra M. Carvalho and Arlindo L. Oliveira,
GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge,
Algorithms for Molecular Biology, 6:13, Apr 2011.

Sequence Searcher – Search Sequences for Specified Sequence Motifs

Sequence Searcher

:: DESCRIPTION

Sequence Searcher is an easy-to-use Java tool for searching protein and DNA sequences for user specified sequence motifs.  The Sequence Searcher can search multiple sequences in a single pass.  The target sequences may be imported from your computer in FASTA format or you can manually paste the sequence(s) into a text window.

::DEVELOPER

Dr. Chris Upton, University of Victoria, Biochemistry and Microbiology

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / Mac OsX
  • Java

:: DOWNLOAD

Sequence Searcher

:: MORE INFORMATION

N/A

Voting 4 – Discover Patterns, Motif, in a set of DNA sequences

Voting 4

:: DESCRIPTION

Voting is a software package that discovers common patterns, motif, in a set of DNA sequences. Voting is efficient to solve the planted (l,d) motif problem which discover a hidden length-l string motif appear in each input DNA sequence with at most d Hamming distance. Our package guarantees discovering all motifs in a short time.

::DEVELOPER

Bioinformatics Research Group of Hong Kong University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

  Voting

:: MORE INFORMATION

Citation:

Francis Y.L. Chin and Henry C.M. Leung.
Voting Algorithms for Discovering Long Motifs (2005)
In Proceedings of Asia-Pacific Bioinformatics Conference (APBC) pages 261 – 271

 

RNAmotifs 3 – Predict a motif for your own set of RNAs

RNAmotifs 3

:: DESCRIPTION

RNAmotifs allows you to predict a structural motif common to a set of RNA sequences. The resulting motifs includes information on both RNA sequence and structure. Motifs are described both graphically and by a data file containing information on the underlying probabilistic model.

::DEVELOPER

Segal Lab 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 RNAmotifs

:: MORE INFORMATION

Citation

Rabani et. al,
Computational prediction of RNA structural motifs involved in post transcriptional regulatory processes,
Proc Natl Acad Sci U S A., September 2008

FMM 2 – Learn Motifs from Unaligned Sequences

FMM 2

:: DESCRIPTION

FMM allows you to find motifs that are discriminatively enriched in a positive sequences set relative to a negative sequences set. The main novelty is that it can learn a “Feature Motif Model” (FMM) representation of the motif, capturing dependencies between different positions through di-nucleotide features (such as: “G at position 3 and T at position 9”). Mono-nucleotide features are also in use, thus the FMM formalism contains the PSSM one. FMMs are represented by a clear and intuitive logo, easily pointing out important di-nucleotide features. The height of a feature in the logo is linear to its expected occurrence.

::DEVELOPER

Segal Lab 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 FMM

:: MORE INFORMATION

Citation

Sharon & Lubliner et al.,
A Feature-Based Approach to Modeling Protein-DNA Interactions,
PLoS Comput Biol, 4(8) Aug. 2008

MotifOrganizer 0.1 Beta – Cluster large sets of DNA sequence motifs to identify common patterns

MotifOrganizer 0.1 Beta

:: DESCRIPTION

MotifOrganizer is designed to cluster large sets of DNA sequence motifs to identify common patterns. Different motif widths are allowed. It uses a two-stage divide-conquer-combine strategy to achieve scalability and efficiency.

::DEVELOPER

Steve Qin @ the Center for Statistical Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX / Windows

:: DOWNLOAD

 MotifOrganizer

:: MORE INFORMATION

FoldMiner 200312 – Structural Similarity Searches and Motif Discovery

FoldMiner 200312

:: DESCRIPTION

FoldMiner performs structural similarity searches and rapid, unsupervised structural motif discovery. Motifs are used to improve the sensitivity and specificity of the search.

::DEVELOPER

 The Brutlag Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C Complier

:: DOWNLOAD

 FoldMiner

:: MORE INFORMATION

Citation:

Jessica Shapiro and Douglas L. Brutlag (2004).
FoldMiner: Structural Motif Discovery Using an Improved Superposition Algorithm.
Protein Science 13(1) 278-294.