Discover the latest updates and project status of OpenCRAVAT by exploring the roadmap available on GitHub. Stay informed about the progress and developments by visiting this link: [OpenCRAVAT Roadmap](https://github.com/orgs/KarchinLab/projects/2/views/1?pane=info). Your insights and feedback are invaluable as we continue to advance this project.🧬 🧪 🖥️

Stuck with a three-month VCF backlog? Try these five rapid changes to cut turnaround time in half. (1) prioritize with calibrated predictors; (2) use OpenCRAVAT modular annotators to remove tool fragmentation; (3) run non-sensitive analyses locally and scale compute in cloud for bulk jobs; (4) automate QC and reporting templates; (5) train non-programmer staff using the GUI.

We are planning to launch a new collection of Jupyter notebooks and would love to know if you're interested. If so, please share topics or features you'd like included. Your feedback will help us tailor these notebooks to your needs and preferences.🧬 🧪 🖥️

Introducing our latest offering: the Calibrated Classification Package for clinical interpretation of variant effect predictor scores. This innovative package aids users in applying ACMG/AMP variant interpretation guidelines, particularly PP3 (support for pathogenicity) and BP4 (support for benignity), through the use of calibrated computational scores. It provides a standardized, evidence-based approach for integrating predictive tools within OpenCRAVAT, enhancing clinical curation. 🧪 🧬 🖥️

Moez Dawood, an MD/PhD student at Baylor College of Medicine, created the AllofUs 250k annotator for OpenCRAVAT to improve genomic research by integrating diverse data, including ancestry-specific allele frequencies. You can read more about Moez's experience developing the annotator here: https://www.opencravat.org/bringing-genetic-diversity-to-the-forefront-moez-dawood-on-the-allofus-250k-annotator-for-opencravat/
#annotator #opencravat #bioinformatics #opensource #genomics

🚀 Help shape the future of genomic variant annotation!
We’re looking for community contributors to support OpenCRAVAT — from testing new features to improving documentation and outreach. Whether you’re a researcher, developer, or educator, we’d love your expertise.
📝 Sign up here: https://forms.gle/v5t2ErBxYzqnTj4E8
#Genomics #Bioinformatics #OpenScience #Annotation

We are seeking community members interested in taking part in OpenCRAVAT's future.
Let us know if you might contribute in any of these areas:
Would you be interested in contributing code, bug fixes, or performance improvements?
Are there features or issues you’d like to help implement or debug?
Would you be willing to review pull requests or help triage GitHub issues?🖥️ 🧬 🧪 #annotator #opencravat #bioinformatics #opensource #genomics