flowQ
flowQ performs automated quality control and assessment of flow cytometry (FCM) data to improve standardization and reproducibility of clinical and research analyses.
Key Features:
- Automated quality control and assessment: Performs automated quality control and assessment of flow cytometry (FCM) data to streamline QC processes.
- Systematic pipeline reporting: Reports each component of the data analysis pipeline to ensure transparency and standardization across analyses.
- Standardization: Enforces standardized processing to enable consistent re-evaluation of FCM datasets.
- Reproducibility enhancement: Reduces human error and enhances reproducibility of FCM data analysis compared with manual workflows.
- Automation of manual workflows: Replaces time-consuming, manual FCM data analysis steps with automated procedures.
Scientific Applications:
- Leukemia and lymphoma diagnosis and monitoring: Supports quality-controlled analysis of FCM data used in diagnosing and monitoring leukemia and lymphoma.
- Hematopoietic stem cell graft evaluation: Supports evaluation of peripheral blood hematopoietic stem cell grafts using standardized FCM analysis.
- HIV treatment management: Supports assessment of helper-T lymphocyte counts relevant to HIV treatment management.
- Clinical and research flow cytometry studies: Enables reproducible and standardized FCM data analysis across clinical and research settings.
Methodology:
Performs automated quality control and assessment and systematically reports each component of the flow cytometry data analysis pipeline.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Validation
Publications
Bashashati A, Brinkman RR. A Survey of Flow Cytometry Data Analysis Methods. Advances in Bioinformatics. 2009;2009:1-19. doi:10.1155/2009/584603. PMID:20049163. PMCID:PMC2798157.
DOI: 10.1155/2009/584603
PMID: 20049163
PMCID: PMC2798157
Funding: - Natural Sciences and Engineering Research Council of Canada: R01 EB008400
- National Institutes of Health: R01 EB008400
- Michael Smith Foundation for Health Research: R01 EB008400