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COMET
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COMET

COMET is a tool to identify gene markers for cell populations in single-cell RNA-seq data. The COMET algorithm uses a standard non-parametric statistical structure and is suitable for use in high-throughput experiments.



COMET

COMET is a tool to identify gene markers for cell populations in single-cell RNA-seq data. The COMET algorithm uses a standard non-parametric statistical structure and is suitable for use in high-throughput experiments.

Topic

Transcriptomics; RNA-seq; Genetic variation

Details

  • Operation: RNA-seq analysis; Analysis, Variant classification
  • Software interface: Command-line user interface; Web user interface
  • Language: Python
  • Operating system: Microsoft Windows, Mac OS X, Linux
  • License: BSD 3-Clause
    • Cost: Free
  • Version name: -
  • Credit: German Academic Scholarship Foundation (Studienstiftung des Deutschen Volkes).
  • Contact: Conor Delaney cdelaney _at_ bcb.dfci.harvard.edu
  • Collection: -

Publications

Conor Delaney, Alexandra Schnell, Louis V. Cammarata, Aaron Yao-Smith, Aviv Regev, Vijay K. Kuchroo, Meromit Singer "Combinatorial prediction of marker panels from single-cell transcriptomic data" biorxiv.org https://doi.org/10.1101/655753


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