[Blends-commit] r1788 - projects/med/trunk/debian-med/tasks

[Andreas Tille]

On Tue, Aug 18, 2009 at 02:30:54PM +0000, Debian Pure Blends Subversion Commit wrote:
> Author: moeller
> Date: Tue Aug 18 14:30:54 2009
> New Revision: 1788
> URL: http://svn.debian.org/viewsvn/blends?rev=1788&view=rev
> 
> Log:
> ballview and r-other-mott-happy are now in Debian.
> 
> 
> Modified:
>    projects/med/trunk/debian-med/tasks/bio
> 
> Modified: projects/med/trunk/debian-med/tasks/bio
> URL: http://svn.debian.org/viewsvn/blends/projects/med/trunk/debian-med/tasks/bio?rev=1788&view=diff&r1=1788&r2=1787&p1=projects/med/trunk/debian-med/tasks/bio&p2=projects/med/trunk/debian-med/tasks/bio
> ==============================================================================
> --- projects/med/trunk/debian-med/tasks/bio	(original)
> +++ projects/med/trunk/debian-med/tasks/bio	Tue Aug 18 14:30:54 2009
> @@ -121,26 +121,6 @@
>   profiles and other state data.  Additional features are available as plugins.
>  
>  Recommends: ballview
> -Homepage: http://www.ballview.org

That's a bit quick: Assume ballview will be removed from NEW for whatever
reason and does not make it to unstable.  So well, let's be optimistic and
stay with your change but I formerly used to wait until a package is
really in unstable / experimental for exactly this reason.

> -Recommends: r-happy
> -Homepage: http://www.well.ox.ac.uk/happy/
> -License: GPL
> -Responsible: BioLinux - Stewart Houten <shou at ceh.ac.uk>
> -Pkg-URL: http://nebc.nox.ac.uk/bio-linux/dists/unstable/bio-linux/binary-i386/
> -Pkg-Description: Multipoint QTL Mapping in Genetically Heterogeneous Animals
> - Most phenotypes of medical importance can be measured quantitatively,
> - and in many cases the genetic contribution is substantial, accounting
> - for 40% or more of the phenotypic variance. Considerable efforts have
> - been made to isolate the genes responsible for quantitative genetic
> - variation in human populations, but with little success, mostly
> - because genetic loci contributing to quantitative traits
> - (quantitative trait loci, QTL) have only a small effect on the
> - phenotype. Association studies have been proposed as the most
> - appropriate method for finding the genes that influence complex
> - traits. However, family-based studies may not provide the resolution
> - needed for positional cloning, unless they are very large, while
> - environmental or genetic differences between cases and controls may
> - confound population-based association studies.
> - .
> - These difficulties have led to the study of animal models of human
> - traits. Studies using experimental crosses between inbred animal
> - strains have been successful in mapping QTLs with effects on a number
> - of different phenotypes, including behaviour, but attempts to
> - fine-map QTLs in animals have often foundered on the discovery that a
> - single QTL of large effect was in fact due to multiple loci of small
> - effect positioned within the same chromosomal region. A further
> - potential difficulty with detecting QTLs between inbred crosses is
> - the significant reduction in genetic heterogeneity compared to the
> - total genetic variation present in animal populations: a QTL
> - segregating in the wild need not be present in the experimental
> - cross.
> - .
> - HAPPY was written to find QTLs in HS animals. It uses a multipoint
> - analysis which offers significant improvements in statistical power
> - to detect QTLs over that achieved by single-marker
> - association. Further details can be found in
> - Proc. Natl. Acad. Sci. USA, 10.1073/pnas.230304397.
> -Remark: The BioLinux distribution http://envgen.nox.ac.uk/biolinux.html
> - contains a happy package which seems to be the version in C which
> - depends from the non-free NAG library.  We should package the R based
> - version available at http://www.well.ox.ac.uk/happy/happyR.shtml
> - which is entirely free.
> +Recommends: r-other-mott-happy

Ups:

$ apt-cache policy r-other-mott-happy
W: Kann Paket r-other-mott-happy nicht finden

Did I missed something???

Kind regards

        Andreas.

-- 
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