The Center for Computational Genomics and Data Science (CGDS) seeks to develop and apply tools and methods to uncover new and novel information that provide benefits for patients suffering from rare, undiagnosed, or misdiagnosed diseases, their families, and the people that care for them.
An organized listing of public repositories within CGDS to help with discovery of works completed by CGDS.
Rosalution assists researchers study genetic variation 🧬 in patients 🧑🏾🤝🧑🏼 by helping select candidate animal models 🐀🐁🐠🪱 to replicate the variation to further research to derive, diagnose, and provide therapies for ultra-rare diseases. Developed by the UAB Center for Computational Genomics and Data Science (CGDS).
Mutational signal profiling from somatic variation to detect disrupted mechanisms in somatic cells (typically cancers) using https://github.com/AlexandrovLab/SigProfilerExtractor
Process and setup for determining clonal populations from WGS data of multiple chorangiomas tissue
Muscular Dystrophy (XMEA) Bulk RNA-Seq Analysis (DGE and Sashimi-Splicing)
Template repo for CGDS repos. Visit the webpage below for usage instructions.
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