propr
The software tool 'propr' is a resource for researchers in the life sciences who work with compositional data. Often, assays in the life sciences measure only the relative abundances of components in each sample, which can lead to misleading conclusions if not analyzed properly. As such, there is a growing awareness of the need for caution in analyzing compositional data, including the understanding that correlation is inappropriate for relative data.
The 'propr' software tool provides three measures of proportionality for analyzing compositional data, making it an excellent choice for researchers who want to avoid the pitfalls of correlation-based analyses.
One of the strengths of 'propr' is that it is a computationally efficient R package that is user-friendly and easy to implement. This makes it accessible to researchers who may not have much experience with computational analyses.
Topic
Gene expression;RNA-seq;ChIP-seq
Detail
Operation: Peak calling;Sequence feature detection
Software interface: Library
Language: R
License: GNU General Public License, version 2
Cost: Free
Version name: 4.2.6
Credit: -
Input: -
Output: -
Contact: contacttomquinn@gmail.com
Collection: -
Maturity: -
Publications
- propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis.
- Quinn TP, et al. propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis. propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis. 2017; 7:16252. doi: 10.1038/s41598-017-16520-0
- https://doi.org/10.1038/s41598-017-16520-0
- PMID: 29176663
- PMC: PMC5701231
Download and documentation
Source: https://cran.r-project.org/src/contrib/Archive/propr/
Home page: https://cran.r-project.org/web/packages/propr/index.html
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