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Python Modules for Next-Generation Sequencing Data Analysis.

Project Description

rngslib: R interface for NGS data analysis


  1. R 3.2+ (down to 3.0 probably OK). When compiling R from source, do not forget to specify –enable-R-shlib at the ./configure step.
  2. Python 3.4, with intended compatibility with 2.7 and 3.3.
  3. readline
  4. rpy2

Install rpy2:

  1. From source.
    > tar -xzf <rpy_package>.tar.gz > cd <rpy_package> > python build install or > python build –r-home /opt/packages/R/lib install # give explicitly the location for the R HOME
  2. Binaries.
    Get details from

Install rngslib:

> easy_install –prefix=$HOME/local rngslib
Release History

Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
rngslib-1.0.0.tar.gz (4.9 kB) Copy SHA256 Checksum SHA256 Source Feb 12, 2016

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