ArticlePloS one2021
Automated analysis of bacterial flow cytometry data with FlowGateNIST.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Ligify: Automated Genome Mining for Ligand-Inducible Transcription Factors.ACS synthetic biology · 2024Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- Precision engineering of biological function with large-scale measurements and machine learning.PloS one · 2023Article
- Single-cell measurement quality in bits.PloS one · 2022Article
- Method for reproducible automated bacterial cell culture and measurement.Synthetic biology (Oxford, England) · 2022Article
- Substitutions at rheostat position 52 of LacI have long-range effects on the LacI conformational landscape.Biophysical chemistryArticle
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Flow cytometry is commonly used to evaluate the performance of engineered bacteria. With increasing use of high-throughput experimental methods, there is a need for automated analysis methods for flow cytometry data. Here, we describe FlowGateNIST, a Python package for automated analysis of bacterial flow cytometry data. The main components of FlowGateNIST perform automatic gating to differentiate between cells and background events and then between singlet and multiplet events. FlowGateNIST also includes a method for automatic calibration of fluorescence signals using fluorescence calibration beads. FlowGateNIST is open source and freely available with tutorials and example data to facilitate adoption by users with minimal programming experience.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.