Regulatory Genomics Toolbox: Python library and set of tools for the integrative analysis of high throughput regulatory genomics data.
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Updated
Nov 3, 2025 - Python
Regulatory Genomics Toolbox: Python library and set of tools for the integrative analysis of high throughput regulatory genomics data.
Time-series analysis using the Matrix profile in Julia
Nanomotif - a tool for identifying methylated motifs in metagenomic samples
Motif manipulation functions for R.
Python package to plot sequence logos
surrogate quantitative interpretability for deepnets
ATaRVa - Analysis of Tandem Repeat Variation
Bayesian Markov Model motif discovery tool version 2 - An expectation maximization algorithm for the de novo discovery of enriched motifs as modelled by higher-order Markov models.
A home for all biological/bioinformatics constants from protein strings to BLOSUM matrices.
Bioinformatic approach to identify functional transcription factor binding motifs
A unified framework for discovering, analyzing, integrating, and visualizing regulatory motifs and transcription factor binding sites across bulk, single-cell, and long-read sequencing modalities.
Python bindings for the TFM-Pvalue program.
Time Series with Matrix Profile in Java
A proof-of-concept library for motif analysis using MDL techniques.
Efficient tool to query spatial pattern of spatial-modalities data
Visualizer for Motifs/Methylation in Tandem-Repeat Alleles
Discovering Leitmotifs in Multidimensional Time Series
Scripts for motif assessment for HOCOMOCO v10/v11.
Estimating Phylogenetic trees using six microorganisms 16S rRNA gene with Unsupervised Learning, web based tools and Molecular Evolutionary Genetics Analysis MEGA7
A comprehensive protein analysis platform that combines motif detection with 3D structure validation using AlphaFold2 confidence scores. Designed for cancer biology research, drug discovery, and functional genomics.
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