Gibbs 3.2 formerly located at http://ccmbweb.ccv.brown.edu/gibbs/gibbs.html
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Updated
Jul 15, 2019 - C
Gibbs 3.2 formerly located at http://ccmbweb.ccv.brown.edu/gibbs/gibbs.html
Re-implementation and some initialization analysis of Multiple EM for Motif Elicitation (MEME).
A tool to search for motifs within the whole genome or regions of interest
GIMSAN: motif-finder with biologically realistic and reliable statistical significance analysis
The repository stores files that were used to perform Tbx5 transcription factor analysis with house mouse heart cells.
Docker image to easy run meme suite in web mode http://meme-suite.org/
eBM: Enhanced BRAIN-MAGNET convolutional neural network modeling non-coding regulatory elements enhancer activity in human neural stem cells
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
My solutions (in Python) for problems from the Coursera course "Finding Hidden Messages in DNA (Bioinformatics I)" by UC San-Diego.
Classify transcriptional factor motifs into true motifs and false motifs
C++ Codes for the DNA Sequence Motif Discovery Using Greedy Construction Algorithm Based Techniques
Bioinformatics- High-throughput data Analysis project
MapReduce-based Algorithm for Motif Search
An exhaustive GPU algorithm written in C++ to reveal degenerate oligonucleotide motifs written in the 15-letter IUPAC code
Transceiver Framework: A framework for concurrent multi stage processing of data & MDP: An online motif detector and predictor embedded in the transceiver framework.
Python toolkit for advanced genomic analysis, motif discovery, and protein sequence exploration
Motif finding algorithms implementation and a bit trying of enhancement
A contrast motif discovery approach for analyzing discrete sequences.
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