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About Neuroconductor

Neuroconductor is an open-source platform for rapid testing and dissemination of reproducible computational imaging software. The goals of the project are to:

  • provide a centralized repository of R software dedicated to image analysis;
  • disseminate quickly software updates;
  • educate a large, diverse community of scientists using detailed tutorials and short courses;
  • ensure quality via automatic and manual quality controls; and
  • promote reproducibility of image data analysis.

Based on the programming language R, Neuroconductor started with 51 inter-operable packages that cover multiple areas of imaging including visualization, data processing and storage, and statistical inference. Neuroconductor accepts new R package submissions, which are subject to a formal review and continuous automated testing.

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Paper Citation

We have invested a lot of time and effort in creating Neuroconductor, please cite it when using it for data analysis.
Citation links

Installing Neuroconductor Packages
## try http:// if https:// URLs are not supported 
source("https://neuroconductor.org/neurocLite.R") 
neuro_install("PACKAGE")

News


Neuroconductor and its maintainers have been partially supported by the R01 grant NS060910 from the National Institute of Neurological Disorders and Stroke at the National Institutes of Health (NINDS/NIH) and P41 grant EB015909 from the National Institute of Biomedical Imaging and Bioengineering (NIBIB/NIH). We are also grateful to the Department of Biostatistics at Johns Hopkins University for providing support during the early stages of development.

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