DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus

Official code repository for GATK versions 4 and up

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome

genes and genomes at your fingertips

karyoploteR - An R/Bioconductor package to plot arbitrary data along the genome

Scientific Large Language Models: A Survey on Biological & Chemical Domains

GenomeTools genome analysis system.

🔬 Assemble large genomes using short reads

Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs

Genome annotation with AUGUSTUS

A genome browser designed for complex structural variants and long reads.

a python package for fast random access to sequences from plain and gzipped FASTA/Q files

Nanopore sequence read simulator

Whole Genome Sequencing analysis, WGS analysis

DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.