xfcs
Extract metadata and data from FCS (3.0, 3.1) files.
- Data extraction supports file formats:
Mode: List (L)
Datatypes: I, F, D
- Implemented parameter data set options:
raw
channel values
scale values (log10, gain)
channel and scale combined into one data set
fluorescence compensation
log10 scaled fluorescence compensation
- Metadata extraction features:
support for non-compliant files
merge or separate csv files
rolling mean for any keyword with a numeric value
append new fcs files to previously generated metadata csv file
- Interactive dashboard plots using the xfcsdashboard add-on module.
Installation
Using pip:
pip install xfcs
Without pip:
python setup.py install
Command Line Usage
See USAGE for expanded details.
To see a list of available commands and arguments, run ‘’xfcs data –help’’ or ‘’xfcs metadata –help’’
extract data: xfcs data [options] extract metadata: xfcs metadata [options]
Requirements
Python 3.5 or greater
numpy
pandas
License
xfcs is released under the BSD 2-clause license. See LICENSE for details.
Metadata
Release files for xfcs 1.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| xfcs-1.1.6.tar.gz | 142.8 kB | Without provenance | Details for xfcs-1.1.6.tar.gz |
Release files / xfcs-1.1.6.tar.gz
| Download URL | xfcs-1.1.6.tar.gz |
|---|---|
| Size | 142.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bdc59b4a7f96a0781e4b38bd5660d448c5b3d0d8a8a836c4255868036d48cced
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for xfcs 1.1.6
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