HSEARCH: fast and accurate protein sequence motif search and clustering
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Updated
Mar 23, 2017 - C++
HSEARCH: fast and accurate protein sequence motif search and clustering
Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.
Structural Temporal Modeling to characterize temporal networks
Scripts for motif assessment for HOCOMOCO v10/v11.
GIMSAN: motif-finder with biologically realistic and reliable statistical significance analysis
Details application of UniDip to the problem of biologic motif discovery. We find that UniDip is able to preprocess DNA sequences such that MEME is able to find motifs 70% faster.
Evaluate de novo motif finding tools
The repository stores files that were used to perform Tbx5 transcription factor analysis with house mouse heart cells.
XXmotif: eXhaustive, weight matriX-based motif discovery in nucleotide sequences
A tool to search for motifs within the whole genome or regions of interest
MapReduce-based Algorithm for Motif Search
Take the list of motif occurrences output by FIMO (a MEME suite tool) and convert it into the Instances format used by MotifSuite tools.
Docker image to easy run meme suite in web mode http://meme-suite.org/
C++ Codes for the DNA Sequence Motif Discovery Using Greedy Construction Algorithm Based Techniques
Finding Network Motifs Using MCMC Sampling
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