ML Model Identifies Cancer Type-Specific Driver Mutations
Pohang University of Science and Technology
Predicting the carcinogenicity of tissue-specific driver mutations may help detect and intervene in the early stages of cancer development
Mutation
New Computer Program Learns to Identify Mosaic Mutations That Cause Disease
University of California - San Diego
An artificial neural network was trained to spot tiny mutations in genetic sequences better and faster than human eyes
Team Develops Method to Identify Future SARS-CoV-2 Mutations
National Institutes of Health
Commercially available rapid antigen tests can detect past and present variants of concern
Finding the Next COVID-19 Variant
Brittany Niccum, PhD
To predict the next SARS-CoV-2 variants, researchers must pool their resources—and their samples
Navigating Flu Season during the COVID-19 Pandemic
Arvind Kothandaraman, MBS
Combination tests can detect and differentiate SARS-CoV-2, influenza A and B, and respiratory syncytial viruses
The Hunt for Coronavirus Variants: How the New One Was Found and What We Know So Far
Wolfgang Preiser, Cathrine Scheepers, PhD, Jinal Bhiman, PhD, Marietjie Venter, PhD, Tulio de Oliveira, MSc/PhD
Routine sequencing has detected a new variant in South Africa, called B.1.1.529 or "Omicron"
WHO Names New B.1.1.529 Variant of Concern Detected in South Africa "Omicron"
Miriam Bergeret, MSc
The new variant harbors 30 mutations in the SARS-CoV-2 spike protein
Tracking Emerging COVID-19 Variants
Suzanne Leech, PhD
Viral SNPs can be used to track new coronavirus variants, while SNPs in patient genomes could influence clinical care
Solving Rare Disease Mysteries with Genomics
Brydie Thomas-Moore, PhD
The Solve-RD consortium is striving to improve rare disease diagnostics using genomics
COVID-Causing Coronavirus Following Predictable Mutational Footsteps
University of Nebraska-Lincoln
Similarities in locations, types of mutations could inform responses to future SARS-CoV-2 strains