STUMPY is a powerful and scalable Python library for modern time series analysis
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Updated
Jun 5, 2024 - Python
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.
A performant, powerful query framework to search for network motifs
golang library for computing matrix profiles along with other time series analysis features
Time-series analysis using the Matrix profile in Julia
Motiflets
Estimating Phylogenetic trees using six microorganisms 16S rRNA gene with Unsupervised Learning, web based tools and Molecular Evolutionary Genetics Analysis MEGA7
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.
PEnG-motif is an open-source software package for searching statistically overrepresented motifs (position specific weight matrices, PWMs) in a set of DNA sequences.
R package for the RNA Centric Annotation System (RCAS)
An R package for de novo discovery of enriched DNA motifs (e.g. TFBS)
Classify transcriptional factor motifs into true motifs and false motifs
Webserver for motif discovery with higher-order Bayesian Markov Models (BaMMs)
Variational Auto Encoders for learning binding signatures of transcription factors
Yet Another Model Using Neural Networks for Predicting Binding Preferences of for Test DNA Sequences
modified exact discovery of time series motifs
🐳 💻 Docker recipe for meme-suite
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