MetaGraph compresses vast data archives into a search engine for scientists, opening up new frontiers of biological discovery ...
A new study has found a connection between special patterns in RNA sequences within the ribosome — the cell’s protein ...
MIT scientists have found a way to make gene editing far safer and more accurate — a breakthrough that could reshape how we ...
Scientists at ETH Zurich have developed MetaGraph, a tool that rapidly searches vast genetic databases, revolutionising genetic research and disease study.
New research has uncovered shared patterns between ribosomal RNAs and genes linked to brain disorders, including autism, ...
EMBL researchers and collaborators have developed SDR-seq, a breakthrough single-cell technology that captures DNA and RNA ...
A combination of genetic tests for a "very complex" blood cancer could accurately predict if the disease is likely to return ...
With support from the National Institutes of Health, the COBRE Center for RNA Biology in Health and Disease will create a ...
Mikhail Karasikov and his colleagues at ETH Zurich worked on MetaGraph, a search engine designed for genomic databases containing massive troves of DNA and RNA sequences.
By examining genomic variation more closely, scientists can now identify new disease connections with greater speed and accuracy. For centuries, scientists have recognized that certain illnesses can ...
Scientists have long suspected connections between heredity and disease, dating back to Hippocrates, who observed certain ...
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