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Khabre desk
Recent reporting, analysis and explainers from the Computational Biology desk.
science
A bioRxiv preprint presents PHACTn, a training-free method that uses mammalian evolutionary history to infer how tolerable single-nucleotide variants may be across the human genome. The authors report strong performance on benchmark sets of non-coding variants using four interpretable parameters and no GPU.
science
Google DeepMind says AlphaGenome Atlas pre-calculates predicted molecular effects for approximately 9 billion possible single-nucleotide changes, giving researchers a searchable tool for prioritising variants.
science
Google DeepMind says AlphaGenome Atlas precomputes molecular-effect predictions for approximately 9 billion single-nucleotide variants and provides scores and interpretation tools for non-commercial academic research.