https://github.com/himsr-lab/cu-himsr

A collection of tools provided by HIMSR
https://github.com/himsr-lab/cu-himsr

csv csv-converter csv-to-fcs fcs fcs-to-csv flowcytometry inform phenoptr phenoptrreports premessa r txt-to-csv txt-to-fcs

Last synced: 2 months ago
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A collection of tools provided by HIMSR

• Host: GitHub
• URL: https://github.com/himsr-lab/cu-himsr
• Owner: himsr-lab
• License: gpl-3.0
• Created: 2020-06-01T20:28:18.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-09-25T19:29:17.000Z (8 months ago)
• Last Synced: 2025-01-23T08:43:46.494Z (4 months ago)
• Topics: csv, csv-converter, csv-to-fcs, fcs, fcs-to-csv, flowcytometry, inform, phenoptr, phenoptrreports, premessa, r, txt-to-csv, txt-to-fcs
• Language: Python
• Homepage:
• Size: 469 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
![brand_config_amc01](https://user-images.githubusercontent.com/19319377/117384069-57bd7800-ae9f-11eb-81d1-cf84757ff1d5.png)

# CU-HIMSR

## The [Human Immune Monitoring Shared Resource](https://medschool.cuanschutz.edu/immunology-immunotherapy/himsr)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4741394.svg)](https://doi.org/10.5281/zenodo.4741394)

### Software documentation

The documentation of our scripts is located in the corresponding source code: You can view the source code on GitHub by following the links to the scripts.

### Software requirements

* Python scripts require a recent version of the [Python 3](https://www.python.org/downloads/) interpreter.

* R scripts require a recent version of [R](https://cran.r-project.org/bin/windows/base/). The installation of [RStudio](https://www.rstudio.com/products/rstudio/download/#download) is recommended.

### Copyright notices

[`phenoptr`](https://github.com/akoyabio/phenoptr), [`phenoptrReports`](https://github.com/akoyabio/phenoptrReports) are part of the Akoya Biosciences Phenoptics™ family of Quantitative Pathology Research Solutions.

[`premessa`](https://github.com/ParkerICI/premessa) is an R package from the Parker Institute for Cancer Immunotherapy for pre-processing of flow and mass cytometry data, that includes panel editing/renaming for FCS files, bead-based normalization and debarcoding .