CoLabPCR: A One-stop Tool for Precise and Reproducible Primer Design
Researchers at IBBM (Instituto de Biotecnología y Biología Molecular) and NOVABIOMA Biomanufacturing FlexCo introduced ColabPCR, a Google Colab-based Python notebook created along with collaborators...
From Variant to Disease: How V2P Improves Phenotype-Aware Pathogenicity Prediction
Researchers at Mount Sinai Institute introduced Variant-to-Phenotype (V2P), a new machine learning framework that not only predicts whether a genetic variant is harmful but...
CRISPR-HAWK: Improving CRISPR with Haplotype-Aware Guide Design
CRISPR-HAWK is a guide-RNA design tool created by researchers from the University of Verona, Harvard Medical School, and the Broad Institute to account for...
R2G2: Letting Bioconductor Fly in Galaxy Workflows
Researchers from the Center for Computational Life Sciences at the Cleveland Clinic introduce R2G2, a Python-R framework that automates the integration of R and...
Designing Protein Binders with BoltzGen: A Unified Generative Approach
Researchers at MIT introduce an all-atom generative model, BoltzGen. The model incorporates a design specification language that allows researchers to control constraints like covalent...