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pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.apricot
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.htmlyahmm
Yet Another Hidden Markov Model repository.avocado
Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.torchegranate
A temporary repository hosting a pomegranate re-write using PyTorch as the backend.ledidi
Ledidi turns any machine learning model into a biological sequence editor, allowing you to design sequences with desired properties.tfmodisco-lite
A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.notebooks
Various notebooks and tutorials on subjects of interest.PyPore
Tools used to analyze data from nanopore-based experiments.dragonnfruit
A method for analyzing scATAC-seq experiments.rambutan
Prediction of the 3D structure of the genome through statistically significant Hi-C contacts.bpnet-lite
This repository hosts a minimal version of a Python API for BPNet.constraint_graphs
Repository for the data and associated notebook for the manuscript "Finding the optimal Bayesian network given a constraint graph."antz
Bioinformatic tools for biologists, made pythonic!bam2bw
A command-line tool for reading SAM/BAM files and converted them directly to bigwig files.yabn
Yet Another Bayesian Networkjmschrei.github.io
Abada
GUI for analyzing nanopore data, based on the Abada package.kiwano
Kiwano implements an approach for prioritizing epigenomic and transcriptomic characterization based on submodular selection and imputed experimentsLove Open Source and this site? Check out how you can help us