STUMPY is a powerful and scalable Python library for modern time series analysis
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
golang library for computing matrix profiles along with other time series analysis features
A performant, powerful query framework to search for network motifs
Dimension UI is a desktop application designed to collect, store, visualize, and analyze time series data
Motiflets
LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warping
Time-series analysis using the Matrix profile in Julia
pyJASPAR: A Pythonic interface to JASPAR transcription factor motifs
Harbinger is a framework for event detection in time series
A motif discovery tool to detect the occurrences of known motifs
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.
Variational Auto Encoders for learning binding signatures of transcription factors
Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.
Yet Another Model Using Neural Networks for Predicting Binding Preferences of for Test DNA Sequences
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.
PEnG-motif is an open-source software package for searching statistically overrepresented motifs (position specific weight matrices, PWMs) in a set of DNA sequences.
To associate your repository with the motif-discovery topic, visit your repo's landing page and select "manage topics."
