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README  view on Meta::CPAN

        turns Perl into a free, array-oriented, numerical language that can
        be a very solid alternative to switching to Python or R for
        numerical computations during complex data analysis tasks and
        pipelines.

    *   polyester <https://github.com/alyssafrazee/polyester>

        Polyester is an R package designed to simulate RNA sequencing
        experiments with differential transcript expression.Given a set of
        annotated transcripts, Polyester will simulate the steps of an
        RNA-seq experiment (fragmentation, reverse-complementing, and
        sequencing) and produce files containing simulated RNA-seq reads.
        Simulated reads can be analyzed using your choice of downstream
        analysis tools. Polyester has a built-in wrapper function to
        simulate a case/control experiment with differential transcript
        expression and biological replicates. Users are able to set the
        levels of differential expression at transcripts of their choosing.
        This means they know which transcripts are differentially expressed
        in the simulated dataset, so accuracy of statistical methods for
        differential expression detection can be analyzed.

lib/Bio/SeqAlignment/Examples/TailingPolyester.pm  view on Meta::CPAN

and speedily manipulate the large N-dimensional data arrays which are the bread
and butter of scientific computing. PDL turns Perl into a free, array-oriented,
numerical language that can be a very solid alternative to switching to Python
or R for numerical computations during complex data analysis tasks and 
pipelines. 

=item * L<polyester|https://github.com/alyssafrazee/polyester>

Polyester is an R package designed to simulate RNA sequencing experiments with
differential transcript expression.Given a set of annotated transcripts, 
Polyester will simulate the steps of an RNA-seq experiment (fragmentation, 
reverse-complementing, and sequencing) and produce files containing simulated 
RNA-seq reads. Simulated reads can be analyzed using your choice of downstream 
analysis tools.
Polyester has a built-in wrapper function to simulate a case/control experiment 
with differential transcript expression and biological replicates. Users are 
able to set the levels of differential expression at transcripts of their 
choosing. This means they know which transcripts are differentially expressed 
in the simulated dataset, so accuracy of statistical methods for differential 
expression detection can be analyzed.