Re: Paper preprint: Reproducible genomics analysis pipelines with GNU Guix

2018-04-15 Thread Amirouche Boubekki
Wow very great, thanks for sharing.

On Wed, Apr 11, 2018 at 11:17 PM Roel Janssen  wrote:

>
> Ricardo Wurmus  writes:
>
> > Hey all,
> >
> > I’m happy to announce that the group I’m working with has released a
> > preprint of a paper on reproducibility with the title:
> >
> > Reproducible genomics analysis pipelines with GNU Guix
> > https://www.biorxiv.org/content/early/2018/04/11/298653
> >
> > We built a collection of bioinformatics pipelines and packaged them with
> > GNU Guix, and then looked at the degree to which the software achieves
> > bit-reproducibility (spoiler: ~98%), analysed sources of non-determinism
> > (e.g. time stamps), discussed experimental reproducibility at runtime
> > (e.g. random number generators, kernel+glibc interface, etc) and
> > commented on the idea of using “containers” (or application bundles)
> > instead.
> >
> > The middle section is a bit heavy on genomics to showcase the features
> > of the pipelines, but I think the introduction and the
> > discussion/conclusion may be of general interest.
>
> This looks really great!  I also like how you leverage GNU Autotools.
>
> Finally there is a paper that uses GNU Guix as deployment tool for
> scientific purposes. :)
>
> Kind regards,
> Roel Janssen
>
>


Re: Paper preprint: Reproducible genomics analysis pipelines with GNU Guix

2018-04-11 Thread Roel Janssen

Ricardo Wurmus  writes:

> Hey all,
>
> I’m happy to announce that the group I’m working with has released a
> preprint of a paper on reproducibility with the title:
>
> Reproducible genomics analysis pipelines with GNU Guix
> https://www.biorxiv.org/content/early/2018/04/11/298653
>
> We built a collection of bioinformatics pipelines and packaged them with
> GNU Guix, and then looked at the degree to which the software achieves
> bit-reproducibility (spoiler: ~98%), analysed sources of non-determinism
> (e.g. time stamps), discussed experimental reproducibility at runtime
> (e.g. random number generators, kernel+glibc interface, etc) and
> commented on the idea of using “containers” (or application bundles)
> instead.
>
> The middle section is a bit heavy on genomics to showcase the features
> of the pipelines, but I think the introduction and the
> discussion/conclusion may be of general interest.

This looks really great!  I also like how you leverage GNU Autotools.

Finally there is a paper that uses GNU Guix as deployment tool for
scientific purposes. :)

Kind regards,
Roel Janssen