Estimating gene regulatory networks with pandaR.
Daniel Schlauch1,2, Joseph N Paulson1,2, Albert Young1,2
1Department of Computational Biology and Biostatistics, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, MA, USA.
Bioinformatics (Oxford, England)
|March 24, 2017
Summary
This study introduces PandaR, a Bioconductor R package for data analysis. It is readily available for researchers to download and utilize in their work.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- The abstract provides contact information and availability details for the PandaR package.
- Specific scientific background is not detailed in the provided abstract snippet.
Purpose of the Study:
- To announce the availability of the PandaR R package.
- To provide access information for researchers interested in utilizing PandaR.
Main Methods:
- PandaR is implemented as a Bioconductor R Package.
- The package is accessible through the Bioconductor website.
Main Results:
- The PandaR package is now available to the research community.
- Researchers can access the package at bioconductor.org/packages/pandaR.
Conclusions:
- The PandaR package offers a new tool for biological data analysis.
- Easy accessibility is ensured through the Bioconductor platform.
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