Dear All,
Thank you kindly for such detailed replies. I was looking to overlay data using 
algorithms so that i am able to tell which genes are differentially expressed 
due to changes in copy number. I did a pubmed search and found only 7 
literature pieces all of which use in-house algorithms. I am yet to explore 
Gviz since it wouldn't work on R 2.14, would try it after upgrading to R 2.15. 
Other package - ggbio , work on an input 'Object'. I am not able to figure out 
what to provide as object - gene expression data matrix as whole and or SNP 
log2  normalised ratios?

Any more help or thoguhts here will be greatly appreciated.

Thanks a ton !
-E

From: Tengfei Yin [mailto:yinteng...@gmail.com]
Sent: 23 April 2012 21:30
To: Ekta Jain
Cc: bioconduc...@r-project.org; r-help@r-project.org
Subject: Re: [BioC] Overlay Gene Expression on SNP (copy number) data


On Mon, Apr 23, 2012 at 6:33 AM, Ekta Jain 
<ekta_j...@jubilantbiosys.com<mailto:ekta_j...@jubilantbiosys.com>> wrote:
Hello,
Can anyone please suggest any packages in R that can be used to overlay gene 
expression data on SNP (affymetrix) copy number ?
Hi Ekta,

If you mean visually, as Steve suggested, you could try packages like ggbio, 
Gviz, Rcytoscape.. it depends on how you plan to visualize your data, 
track-based? circular view? net work? and what format your data are?

for example, in ggbio, it depends on what data you are using, you can arrange 
your data into GRanges manually or just provide data  that rtracklayer 
supported like bed, then just use autoplot, it accepts different objects, like 
GRanges, IRanges, bamfiles or character... allow some transformation like 
coverage. For files like bed, it automatically use bar to represent your data 
and use score as y(you can specify other y). Function tracks() allow you to 
bind or overlay any graphics produced by ggbio or ggplot2, so you could work 
from data.frame too, it will help you align your plots after the graphics are 
produced. For genomic structure, if you want to overlay with your data, try 
autoplot, TranscriptDb. And if you want to show interaction between genes, you 
could try either arches in linear view or links in circular view(layout_circle).

http://tengfei.github.com/ggbio/

this website is still under development, just to show some possible cases, it 
will be re-built against R 2.15 and more case studies are coming.

HTH

Tengfei


 Another possibility for visual display of several kinds of data is RCytoscape, 
for which an example can be seen here:



http://rcytoscape.systemsbiology.net/versions/current/gallery/TCGA/subnet.TCGA.02.0014.png



This portrays

  1) gene expression (green: under-expression; red: over-expression)

  2) copy number (blue: high, black: low)

  3) gene type (node shape: hexagons are kinases, arrows are ligands, diamonds 
are receptors, circles for everything else)

  4) mutation status (not SNPs, but non-synonymous amino acid substitutions)

  5) in the context of gene relationships, from KEGG



A vignette for a larger version of this network is nearly complete.  The 
Cytoscape network map is created from data and R code.



 - Paul

Hi,



On Mon, Apr 23, 2012 at 7:33 AM, Ekta Jain 
<ekta_j...@jubilantbiosys.com<mailto:ekta_j...@jubilantbiosys.com>> wrote:

> Hello,

> Can anyone please suggest any packages in R that can be used to overlay gene 
> expression data on SNP (affymetrix) copy number ?



I guess you mean visually? If so, I'd suggest skimming through the vignettes of 
the following packages to see which one might suit you

best:



* Gviz

* ggbio

* GenomeGraphs



-steve



--

Steve Lianoglou

Graduate Student: Computational Systems Biology

 | Memorial Sloan-Kettering Cancer Center

 | Weill Medical College of Cornell University Contact Info: 
http://cbio.mskcc.org/~lianos/contact


Thanks,
Ekta
Senior Research Associate
Bioinformatics Department
Jubilant Biosys Pvt Ltd,
#96, Industrial Suburb, 2nd Stage
Yeshwantpur, Bangalore 560 022
Ph No : +91-80-66628346<tel:%2B91-80-66628346>

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