TASBE Flow Analytics

TASBE Flow Analytics performs calibrated analysis of flow cytometry data to quantify cell fluorescence and size for synthetic biology applications.


Key Features:

  • Calibration and Filtering: Implements multistage calibration and filtering workflows that calibrate experimental samples against controls for accurate quantitative measurement.
  • High-Throughput Data Processing: Processes large-scale, high-throughput flow cytometry datasets to support scalable analysis.
  • Quantitative Analysis and Comparison: Performs quantitative analyses and statistical comparisons across experimental samples using appropriate statistical methods.
  • Automated Reporting: Generates calibrated data outputs, figures, diagnostic information, and machine-readable reports.

Scientific Applications:

  • Synthetic Biology: Supports quantitative measurement of cell fluorescence and size in synthetic biology experiments.
  • Flow Cytometry Calibration and Comparison: Enables calibrated and reliable comparisons across flow cytometry experiments and controls.
  • Research and Biotechnology: Applicable to basic biological research and biotechnological development requiring precise single-cell fluorescence and size measurements.

Methodology:

Data processing includes ingestion of experimental samples and controls; multistage calibration and filtering workflows; quantitative statistical analyses and sample comparisons; and automated generation of calibrated outputs, figures, and diagnostic machine-readable reports.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
MATLAB, Python
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Beal J, Overney C, Adler A, Yaman F, Tiberio L, Samineni M. TASBE Flow Analytics: A Package for Calibrated Flow Cytometry Analysis. ACS Synthetic Biology. 2019;8(7):1524-1529. doi:10.1021/acssynbio.8b00533. PMID:31053031.

PMID: 31053031
Funding: - Division of Computing and Communication Foundations: 1522074 - Defense Advanced Research Projects Agency: FA8750-17-C-0231, HR0011-10-C-0168, W911NF-11-054, W911NF-17-2-0098 - National Science Foundation: 8600021241

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