Malva can search RNA sequences across millions of individual cells in seconds without requiring researchers to download enormous datasets or use a reference genome. The platform has indexed more than 140 terabytes of public single-cell and spatial transcriptomics data, allowing searches for mutations, RNA isoforms, pathogens and other sequences often missed by conventional cell atlases. Researchers say the system could help scientists investigate cancer, infections and other diseases while also giving AI systems direct access to experimental cellular evidence. The enormous databases created by modern biology contain clues about cancer cells, infections, genetic mutations and other processes involved in disease. Finding those clues, however, can require researchers to download and reprocess vast amounts of sequencing data spread across thousands of experiments. A new search platform called Malva is designed to make that process far faster. Instead of forcing scientists to retrieve enormous raw datasets and map them against a reference genome, Malva lets them search millions of individual cells directly using RNA sequence information. “Like Google did for the internet 30 years ago, Malva allows …