ChromoViz |
ChromoViz is an R package for multimodal visualization of microarray data,
DNA copy number alterations,
cross-platform and cross-species comparisons,
and genomic non-expression data obtained from public databases onto chromosomes.
ChromoViz: Multimodal
visualization of gene expression profile onto chromosomes using Scalable
Vector Graphics. Tested on Linux and MS-Windows 2000/XP platforms. |
Example code in R: |
library(ChromoViz) data(svgControl) data( exprStemcell) cViz( exprStemcell, humanBand, refSp="human") ### YOUR OWN DATA fList <- c( "sampleInput.txt" ) featureSet <- cViz.loadFiles(fList) cViz(featureSet, humanBnad, refSp="human") |
Input to ChromoViz
One needs to create CVF (Chromosomal Visualization Format) file as an input to ChromoViz.
A CVF file can be easily created by entering accession- number, expression- level
(i.e., <id>, <value>) pairs to the following form.
An example input-format:
NM_020299 4.3 NM_003718 5.5 NM_004874 11.1 NM_020647 23.4 NM_005271 0.0 |
The GRIP (Genome Research Informatics Pipeline) integrates major databases
to resolve the position
and strand information from the input accesion numbers. GRIP integrates NCBI's
GenBank, UniGene,
LocusLink, RefSeq, Homologene, UCSC Golden Path's refGene, knownGene,
all_mRNA, all_est,
NetAffyx (http://www.affymetrix.com/analysis/index.affx)
and NCBI's report for chromosome and
cytogenetic band (ftp://ftp.ncbi.nih.gov/genomes/H_sapiens/ maps/mapview/).
One can freely append non-expression
data with user-defined position and value information
as an additional track to the input CVF file using plain text editors for
ChromoViz visualization.
As a matter of fact, GRIP cannot resolve the information without accession
numbers.
Enjoy visualizing with SVG viewer plug in to your web browser.
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