Release 2.6.0 - Cacofonix · nf-core/raredisease

What's Changed Update SVDB/merge module to fix language server problems by @fellen31 in #684 Replace for loop in create_pedigree_file by @fellen31 in #683 Skip alignment - start from bam files by ...

GitHub

🖥️ New to OpenCRAVAT?

Check out our OpenCRAVAT Vignettes—a collection of hands-on tutorials designed to help you analyze genomic variants with ease! 🧬

📖 Learn step-by-step how to:
✅ Annotate variants using OpenCRAVAT
✅ Interpret results for clinical & research applications
✅ Leverage powerful tools for variant analysis

Start exploring here: https://karchinlab.github.io/oc_vignettes/

Have questions or feedback? Drop us a comment! 💬

#Genomics #VariantAnnotation #Bioinformatics #OpenSource

OpenCRAVAT Vignettes

Release 2.4.0 - Vitalstatistix · nf-core/raredisease

What's Changed add markdup to multiqc by @ramprasadn in #679 Full Changelog: 2.3.0...2.4.0

GitHub

🧬 We Want Your Feedback! 🧬

Do you use variant annotation software? We’re gathering insights from the genomics community to improve OpenCRAVAT and understand what features matter most to you.

💡 Take this quick survey (it takes less than 2 minutes!): https://shorturl.at/iOvMt

📌 Your input will help shape better tools for researchers, clinicians, and data scientists.
📸 Scan the QR code below to participate!

🔁 Share with colleagues who use variant annotation tools!

#VariantAnnotation

Genomic Variant Annotation Tools Feedback Survey

Thank you for taking a few minutes to share your experience with variant annotation tools! Your feedback will help improve OpenCRAVAT and better meet the needs of researchers and clinicians.

Google Docs
Release 2.3.0 - Getafix · nf-core/raredisease

What's Changed Bumpversion 2.2.0->2.3.0dev by @ramprasadn in #610 Add option to analyse only mitochondria by @ramprasadn in #608 5% frequency threshold for mitochondrial clinical vcfs by @ramprasa...

GitHub

🧬 New Blog by Dr. Rachel Karchin!

Dr. Karchin shares how OpenCRAVAT and CIViC are addressing transparency and interpretability in variant effect predictors. Discover how calibrated predictors are transforming clinical variant classification.

🔗 Read the full post: https://www.opencravat.org/variant-effect-predictors-in-the-clinic-working-with-calibrated-predictors-in-opencravat/

What are your thoughts on the new ACMG/AMP framework integration? Let us know below!
#Genomics #VariantAnnotation #OpenCRAVAT 🖥️

Variant effect predictors in the clinic: Working with calibrated predictors in OpenCRAVAT

Computational methods for predicting the effects of genetic variants are used by clinicians for interpreting genetic test results and by researchers for scientific exploration. However, their utility is limited by several issues. First, hundreds of methods are available without clear standards for s

OpenCRAVAT
🎁 On the 2nd day of #OpenCRAVAT, my software gave to me…
✨ Two New Example Inputs!
Test OpenCRAVAT with hgvs and dbsnp inputs. Perfect for trying the software before running your data!
🔗https://buff.ly/3BapIgP & https://buff.ly/49l5yNJ
#12DaysofOpenCRAVAT #VariantAnnotation
Getting Started with HGVS in OpenCRAVAT — open-cravat documentation

🎉 Get ready for a holiday adventure in variant annotation! 🎄

Starting December 1st, we’re launching the 12 Days of OpenCRAVAT—an adventurer’s guide to mastering genomic variant analysis. Each day, discover powerful tools, tips, and features designed to make your research faster, easier, and more insightful.

Follow us to join the countdown and explore new ways to enhance your analysis!

#12DaysofOpenCRAVAT #Genomics #VariantAnnotation