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Matteo Bernardini
f2572885a8
academic/FCSalyzer: Handle url-encoded filenames.
|
2 vuotta sitten | |
|---|---|---|
| .. | ||
| FCSalyzer.SlackBuild | f2572885a8 academic/FCSalyzer: Handle url-encoded filenames. | 2 vuotta sitten |
| FCSalyzer.desktop | abcdf66e70 academic/FCSalyzer: Make .desktop validate. | 7 vuotta sitten |
| FCSalyzer.info | 106d9af7bd academic/FCSalyzer: Use zulu-openjdk11. | 2 vuotta sitten |
| FCSalyzer.png | 6cf0705008 academic/FCSalyzer: Added (Flow cytometry analyser). | 7 vuotta sitten |
| README | 7b2680ddba academic/FCSalyzer: Updated for version 0.9.12_alpha. | 7 vuotta sitten |
| doinst.sh | 6cf0705008 academic/FCSalyzer: Added (Flow cytometry analyser). | 7 vuotta sitten |
| slack-desc | 6cf0705008 academic/FCSalyzer: Added (Flow cytometry analyser). | 7 vuotta sitten |
README
FCSalyzer: a free program for analysing flow cytometry data.
FCSalyzer is a simple application for analysing flow cytometry data. It
is based on the "What you see is what you get" principle with the hope
of being intuitive to use. For more information, visit the project web-
page.
Features:
- Analyses FCS2.0 list mode files and FCS3 files
- What you see is what you get - plots are placed onto a paginated
document
- Dot plots, density plots and histograms - all with overlays
- Plots can be duplicated with their statistics
Supported datafiles (depending on the type of flow cytometer and
acquisition software) are listed in "datafiles.txt", found in the
documentation folder of the created package.
FCSalyzer is a simple application for analysing flow cytometry data. It
is based on the "What you see is what you get" principle with the hope
of being intuitive to use. For more information, visit the project web-
page.
Features:
- Analyses FCS2.0 list mode files and FCS3 files
- What you see is what you get - plots are placed onto a paginated
document
- Dot plots, density plots and histograms - all with overlays
- Plots can be duplicated with their statistics
Supported datafiles (depending on the type of flow cytometer and
acquisition software) are listed in "datafiles.txt", found in the
documentation folder of the created package.