[BioC] Gviz - show plus and minus strand from a bam

[António domingues]

Dear Florian and bioconductor list,

I have been using Gviz with quite some success but now I need to 
generate some plots in which I can represent (by color or direction) the 
strandness of the read. So far I am generating coverage plots from 
RNA-seq and ChiP-seq data straight from the bam file using the following 
methods:

## generates coverage plot
bTrackRNAcov <- DataTrack(range = bamRNA, genome = gen, chromosome = 
chr,  name = "RNA-seq", type = "histogram", col.histogram= "#377EB8", 
fill="#377EB8")

## plot with individual reads
    bTrackRNAcov <- DataTrack(range = bamRNA, genome = gen, chromosome = 
chr,  name = "RNA-seq")

Unfortunately I could not find in either of those an option to 
differentiate reads in sense and anti-sense strand. In an ideal world I 
would represent in the 1st plot the coverage for the plus strand above a 
line and for the minus strand below a line. For the second option 
coloring the reads in the sense and antisense with different colors. 
Either option would be fine.

I read the manual and searched the confines of the internet, and for the 
life of me could not find a solution - except separating the sense and 
anti-sense reads in different files. Is there a more elegant way of 
doing this?

Cheers,
António

 > sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-pc-linux-gnu (64-bit)

locale:
  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C LC_TIME=en_US.UTF-8        
LC_COLLATE=en_US.UTF-8
  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8 
LC_PAPER=en_US.UTF-8       LC_NAME=C
  [9] LC_ADDRESS=C               LC_TELEPHONE=C 
LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] parallel  grid      stats     graphics  grDevices utils datasets  
methods   base

other attached packages:
  [1] GenomicFeatures_1.14.0 AnnotationDbi_1.24.0 Biobase_2.22.0         
GenomicRanges_1.14.3   XVector_0.2.0
  [6] IRanges_1.20.4         BiocGenerics_0.8.0 Gviz_1.6.0             
RSvgDevice_0.6.4.3     RColorBrewer_1.0-5
[11] data.table_1.8.10      scales_0.2.3 ggplot2_0.9.3.1        
reshape_0.8.4          plyr_1.8

loaded via a namespace (and not attached):
  [1] biomaRt_2.18.0      Biostrings_2.30.0   biovizBase_1.10.0 
bitops_1.0-6        BSgenome_1.30.0     cluster_1.14.4
  [7] colorspace_1.2-4    DBI_0.2-7           dichromat_2.0-0 
digest_0.6.3        gtable_0.1.2        Hmisc_3.12-2
[13] labeling_0.2        lattice_0.20-24     latticeExtra_0.6-26 
MASS_7.3-29         munsell_0.4.2       proto_0.3-10
[19] RCurl_1.95-4.1      reshape2_1.2.2      rpart_4.1-3 
Rsamtools_1.14.1    RSQLite_0.11.4      rtracklayer_1.22.0
[25] stats4_3.0.2        stringr_0.6.2       tools_3.0.2 
XML_3.98-1.1        zlibbioc_1.8.0

-- 
António Miguel de Jesus Domingues, PhD
Postdoctoral researcher
Deep Sequencing Group - SFB655
Biotechnology Center (Biotec)
Technische Universität Dresden
Fetscherstraße 105
01307 Dresden

Phone: +49 (351) 458 82362
Email: antonio.domingues(at)biotec.tu-dresden.de
--
The Unbearable Lightness of Molecular Biology