Skip to main content

Extract Flow Cytometry data from FCS files version 3+.

Project description

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:
  • merge or separate csv files

  • rolling mean for any keyword with a numeric value

  • append new fcs files to previously generated metadata csv file

Installation

python setup.py install

Command Line Usage

See USAGE for expanded details.

To see a list of available commands and arguments, run ‘’xfcsdata –help’’ or ‘’xfcsmeta –help’’

extract data: xfcsdata [options]
extract metadata: xfcsmeta [options]

Requirements

  • Python 3.5 or greater

  • numpy

  • pandas

License

xfcs is released under the BSD 2-clause license. See LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xfcs-1.1.5.tar.gz (27.5 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page