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Ultrafast and reference-free sequence discovery in single-cell data

Research Bioinformatics AI

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TL;DR - Malva is a method for ultrafast, reference-free discovery of raw sequences in single-cell datasets spanning millions of cells. It could turn static transcriptomic atlases into searchable resources for investigating sequence function.

  • Searches raw single-cell sequences without requiring a reference sequence.
  • Scales sequence discovery across millions of cells.
  • Enables dynamic querying of large transcriptomic atlases.
  • The provided abstract does not specify benchmarks, implementation details, or biological findings.

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Ultrafast and reference-free sequence discovery in single-cell data

Nature Daniel León-Periñán, Nikos Karaiskos, Nikolaus Rajewsky 2026-08-26 doi:10.1038/s41586-026-10975-w
Public signals OpenAlex citations 0
Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-25 14:28:07.073717 UTC

TL;DR - Malva is a method for ultrafast, reference-free discovery of raw sequences in single-cell datasets spanning millions of cells. It could turn static transcriptomic atlases into searchable resources for investigating sequence function.

  • Searches raw single-cell sequences without requiring a reference sequence.
  • Scales sequence discovery across millions of cells.
  • Enables dynamic querying of large transcriptomic atlases.
  • The provided abstract does not specify benchmarks, implementation details, or biological findings.
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