FLOWCYTO
Blood Cell-type identification tool
Input a panel of gene markers and get a ranked, scored, probabilistic prediction of the cell populations present — powered by CellMarker 2.0 DataBase and PanglaoDB.
What is FlowCyto?
FlowCyto is a bioinformatics web tool designed to identify cell populations from gene expression profiles. Given a list of gene symbols in HGNC format, the predictor cross-references them against thousands of gene–cell relationships extracted from the CellMarker and PanglaoDB database.
Each candidate cell type receives a cumulative weighted score based on how many queried genes are known markers — and with what relevance. Results are ranked and expressed as probability percentages.
Every query is logged per user, building a personal prediction history over time. FlowCyto bridges the gap between raw flow cytometry data and reliable cell-type annotation.
What need does it solve?
Manual bottleneck
Identifying cell types from gene panels requires specialist knowledge and hours of cross-referencing scattered literature.
No quantitative rank
Existing tools rarely provide confidence scores or probability metrics, leaving researchers without a reliable decision framework.
Fragmented databases
CellMarker is comprehensive but not directly queryable via a user-friendly interface — FlowCyto makes it accessible in seconds.
How it works
Meet the creators: The DINP Team
FlowCyto was built by four bioinformatics students from Universitat Pompeu Fabra (UPF), Barcelona, as part of an academic project. Our background spans wet-lab biology, database engineering, and web development.
Ready to identify
your cells?
Run your first gene query and get your results in less than second!