DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
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Updated
Oct 21, 2025 - Python
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs
Nanopore sequence read simulator
A Python library for Gene–environment interaction analysis via deep learning
[THIS REPO IS DEPRECATED] see newer repos: https://github.com/broadinstitute/viral-core https://github.com/broadinstitute/viral-assemble https://github.com/broadinstitute/viral-phylo https://github.com/broadinstitute/viral-classify https://github.com/broadinstitute/viral-pipelines
A package for designing compact and comprehensive capture probe sets.
C-Phasing/CPhasing: Phasing and scaffolding polyploid genomes based on Pore-C, HiFi-C/CiFi or Hi-C.
Genetic learning algorithm implementation for simulations, games, or general machine learning problems
A genome diagram generator for microbes and organelles
A tool for simulating random mutations in any genome
Efficiently keep track of changes to genomes
Understand DNA structure and how machine learning can be used to work with DNA sequence data.
A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing (WGBS) data.
Mapping-based Genome Size Estimation (MGSE) performs an estimation of a genome size based on a read mapping to an existing genome sequence assembly.
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