[Bioc-devel] New package: coMET

Martin, Tiphaine tiphaine.martin at kcl.ac.uk
Fri Apr 10 17:07:56 CEST 2015

Dear Herve,

I have just seen your email, I am going to correct it.

Thank you for your email,
From: Hervé Pagès <hpages at fredhutch.org>
Sent: 08 April 2015 23:51
To: Martin, Tiphaine; bioc-devel
Subject: Re: [Bioc-devel] New package: coMET

Hi Tiphaine,

As you're probably already aware, a change in the latest release
of Ensembl breaks its vignette:


On D-day, only packages that pass build/check will be made available
to BioC 3.1 users via biocLite(). So please fix coMET asap so it can
make it into BioC 3.1.


On 03/23/2015 12:23 PM, Martin, Tiphaine wrote:
> Hi all,
> I'm pleased to announce the availability of the coMET package (http://bioconductor.org/packages/devel/bioc/html/coMET.html , https://github.com/TiphaineCMartin/coMET), which visualises regional epigenome-wide association scan (EWAS) results and DNA co-methylation patterns. The R package is designed for human epigenetic data, but can also be applied to genomic and functional genomic datasets in any species such as gene expression.
> coMET exists also in a Shiny-based web application (http://www.epigen.kcl.ac.uk/comet), which allows users to run a pre-formated version (currently only for human genome).
> It is possible also to extract the correlations between omic features with their pvalues.
> Please let me know of any issues you encounter.
> Thanks,
> Tiphaine Martin
> ----
> Tiphaine Martin  I   PhD Student   I  TwinsUK
> Department of Twin Research, Kings College London,
> St Thomas' Hospital Campus, 3rd Floor South Wing Block D
> Westminster Bridge Road, London SE1 7EH, UK
> Email : tiphaine.martin at kcl.ac.uk<mailto:tiphaine.martin at kcl.ac.uk>
> Direct: +44 (0) 207 188 1508
> Fax: +44 (0) 207 188 6761
> London Microbiome Meeting, 28th of May 2015: http://londonmicrobiome.org/
> Mathematical and Quantitative Genomics conference, 29th of May: http://quantgen.soc.srcf.net/qg15/
>       [[alternative HTML version deleted]]
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Hervé Pagès

Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
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P.O. Box 19024
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E-mail: hpages at fredhutch.org
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