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BEELINE

BEELINE

BEELINE (Benchmarking gEnE reguLatory network Inference from siNgle-cEll) is a tool for benchmarking algorithms inferring gene regulatory networks (GRNs). The BEELINE algorithm simulates single-cell expression data and uses artificial networks having predictable cell trajectories and Boolean models to evaluate the accuracy of inferences.

Topic

RNA-seq; Transcriptomics; Molecular interactions, pathways and networks; Gene expression

Details

  • Operation: Pathway or network prediction; Gene regulatory network analysis; Simulated gene expression data generation
  • Software interface: Command-line user interface
  • Language: Python
  • Operating system: Linux
  • License: GNU General Public License v3
  • Cost: Free
  • Version name: -
  • Credit: The National Science Foundation (NSF), the National Cancer Institute (NCI), Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), the Army Research Office (ARO).
  • Contact: T. M. Murali murali _at_ cs.vt.edu
  • Collection: -

Publications

Aditya Pratapa, View ORCID ProfileAmogh P. Jalihal, View ORCID ProfileJeffrey N. Law, View ORCID ProfileAditya Bharadwaj, View ORCID ProfileT. M. Murali "Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data" biorxiv.org https://doi.org/10.1101/642926


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