Stars
Copy number variant detection from targeted DNA sequencing
Pangolin is a deep-learning method for predicting splice site strengths.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Modernity meets insane extensibility. The future of organizing your life in Neovim.
Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
D2 is a modern diagram scripting language that turns text to diagrams.
The fastai book, published as Jupyter Notebooks
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
A collection of enhancements for UnifiOS based devices
Invidious is an alternative front-end to YouTube
These confs are pulled into our SWAG image: https://github.com/linuxserver/docker-swag
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
ATAC-seq peak-calling and QC analysis pipeline
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
A repository of definition files for bootstrapping Singularity containers around the software applications, frameworks, and libraries you need to run on high-performance computing systems.
Run singularity containers on the Comet Supercomputer at San Diego Supercomputer Center
High-throughput gene to knowledge mapping through massive integration of public sequencing data.
Curated list of project-based tutorials
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Master programming by recreating your favorite technologies from scratch.
Code for biostar tutorials - mostly R and Perl
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
🔬 Path to a free self-taught education in Bioinformatics!