motif-x 1.2 – Biological Sequence Motif Discovery

motif-x 1.2

:: DESCRIPTION

motif-x (short for motif extractor) is a software tool designed to extract overrepresented patterns from any sequence data set. The algorithm is an iterative strategy which builds successive motifs through comparison to a dynamic statistical background.

::DEVELOPER

Schwartz Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Curr Protoc Bioinformatics. 2011 Sep;Chapter 13:Unit 13.15-24. doi: 10.1002/0471250953.bi1315s35.
Biological sequence motif discovery using motif-x.
Chou MF, Schwartz D.

iMotifs 0.2.5 – Sequence Motif Editor for the Mac

iMotifs 0.2.5

:: DESCRIPTION

iMotifs is a graphical motif analysis environment for the Apple Mac computers (Leopard or later).It allows visualization of annotated sequence motifs and scored motif hits in sequences.

::DEVELOPER

iMotifs team

:: SCREENSHOTS

iMotifs

:: REQUIREMENTS

  • Mac

:: DOWNLOAD

 iMotifs

:: MORE INFORMATION

Citation

Bioinformatics. 2010 Mar 15;26(6):843-4. doi: 10.1093/bioinformatics/btq026. Epub 2010 Jan 26.
iMotifs: an integrated sequence motif visualization and analysis environment.
Piipari M1, Down TA, Saini H, Enright A, Hubbard TJ.

MEME-LaB – Motif analysis in Clusters

MEME-LaB

:: DESCRIPTION

MEME-LaB (MEME Launcher and Browser) provides an interface to run MEME on a range of gene clusters and browse the resulting motifs

::DEVELOPER

Warwick Systems Biology Centre

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Jul 1;29(13):1696-7. doi: 10.1093/bioinformatics/btt248. Epub 2013 May 16.
MEME-LaB: motif analysis in clusters.
Brown P, Baxter L, Hickman R, Beynon J, Moore JD, Ott S.

RASMOT-3D PRO – Recursive Automatic Search of MOTif in 3D structures of PROteins

RASMOT-3D PRO

:: DESCRIPTION

RASMOT-3D PRO searches in protein structure files for proteins possessing a group of residues in a topology similar to that adopted by a 3D motif given in input.

::DEVELOPER

CEA, LIFE SCIENCES DIVISION

:: SCREENSHOTS

 N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2009 Jul;37(Web Server issue):W459-64. doi: 10.1093/nar/gkp304. Epub 2009 May 5.
RASMOT-3D PRO: a 3D motif search webserver.
Debret G1, Martel A, Cuniasse P.

DRIM – Discover Motifs in a list of ranked DNA sequences

DRIM

:: DESCRIPTION

DRIM (Discovery of Rank Imbalanced Motifs) is a tool for discovering short motifs in a list of nucleic acid sequences. DRIM was originally developed for DNA sequences and successfully applied on ChIP-chip and CpG methylation data. The current version has enhanced functionality and can be applied for both DNA and RNA. This new version was used to predict UTR motifs and Splicing Factor binding motifs based on RIP-Chip or CLIP data.
From a mathematical point of view, DRIM identifies subsequences that tend to appear at the top of the list more often than in the rest of the list. The definition of TOP in this context is flexible and driven by the data. Explicitly – DRIM identifies a threshold at which the statistical difference between top and rest is maximized. An exact p-value for the optimized event is also provided.

::DEVELOPER

Yakhini Lab and the Mandel-Gutfreund Lab, at the Technion.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 DRIM

:: MORE INFORMATION

Citation

E. Eden, D. Lipson, S. Yogev & Z. Yakhini.
Discovering Motifs in Ranked Lists of DNA Sequences,
PLoS Computational Biology, 2007.

QuateXelero – Fast Motif Detection algorithm

QuateXelero

:: DESCRIPTION

QuateXelero is an extremely fast motif detection algorithm which has a Quaternary Tree data structure in the heart.

::DEVELOPER

Laboratory of Systems Biology & Bioinformatics (LBB)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows

:: DOWNLOAD

 QuateXelero

:: MORE INFORMATION

Citation

PLoS One. 2013 Jul 18;8(7):e68073. doi: 10.1371/journal.pone.0068073. Print 2013.
QuateXelero: an accelerated exact network motif detection algorithm.
Khakabimamaghani S1, Sharafuddin I, Dichter N, Koch I, Masoudi-Nejad A.

MODA – Network Motif Discovery in Biological Networks

MODA

:: DESCRIPTION

MODA is an efficient algorithm for network motif discovery in biological networks.

::DEVELOPER

Laboratory of Systems Biology & Bioinformatics (LBB)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 MODA

:: MORE INFORMATION

Citation

Genes Genet Syst. 2009 Oct;84(5):385-95.
MODA: an efficient algorithm for network motif discovery in biological networks.
Omidi S1, Schreiber F, Masoudi-Nejad A.

CSTP 1.0 – Condition-specific Target Prediction from Motifs and Expression

CSTP 1.0

:: DESCRIPTION

CSTP is a computational tool to predict the TF-target regulation with expression data based on a philosophy of guilt by association. Different from other tools, CSTP does not insist on clear TF binding site in the promoters of target genes.The expression information of genes allows prediction of CSTP to be condition-specific or tissue-specific

::DEVELOPER

Department Computational Molecular Biology, Max Planck Institute for Molecular Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Feb 27
Condition-specific target prediction from motifs and expression.
Meng G1, Vingron M.

Wregex 2.1 – Amino Acid Motif searching

Wregex 2.1

:: DESCRIPTION

Wregex (weighted regular expression).is a software tool for amino acid motif searching.

::DEVELOPER

EhuBio

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Wregex

:: MORE INFORMATION

Citation:

Bioinformatics. 2014 May 1;30(9):1220-7. doi: 10.1093/bioinformatics/btu016. Epub 2014 Jan 9.
Prediction of nuclear export signals using weighted regular expressions (Wregex).
Prieto G1, Fullaondo A, Rodriguez JA.