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
pyJASPAR: A Pythonic interface to JASPAR transcription factor motifs
A motif discovery tool to detect the occurrences of known motifs
Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.
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
Motif discovery for DNA sequences using multiobjective optimization and genetic programming.
Scalable mining of multidimensional time series motifs.
Yet Another Motif Discovery Algorithm
Gibby is a Python package designed to find the motif of a transcription factor de novo based on ChIP-seq data.
A project to generate models of regulated bacterial promoters using genetic programming
KNN based term discovery algorithm
Motif Finding through Gibbs Sampling
A package-like tool that analyzes protein sequences, categorizes a protein of interest into one of two groups, predicts secondary structure based on dihedral angles/Ramachandran plots and Chou and Fasman's statistical propensity method, and does pattern search by Naive, KMP, and Bayer-Moore
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