pancandata

<p>Data extracted from The Cancer Genome Atlas database and further processed,
consist of Two datasets-
data1- 630 selected differentially expressed genes in pancreatic cancer condition
as predicted from R limma package, also includes the logFC(log tranformed
Fold Change) for each gene 
data2 - normalized expression values of 25,465 genes for one control
sample and one tumor sample (Pancreatic cancer), the data is converted
into the format for analysis, consist of five columns as name(gene-names),
chrom,start,data(control),secondData(tumor)</p>

datasets

Provides interactive, configurable and elegant graphics visualization of the human chromosomes
allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces
a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data
associated with chromosome elements (like gene expression) in the form of heat colors which can be highly
advantageous in the scientific interpretations and research work. Because of the large size of the chromosomes,
it is impractical to visualize each element on the same plot. However, the plot provides a magnified view for each
of chromosome location to render additional information and visualization specific for that location. You can map
thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings
(like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the
chromosome at a location showing each mapped element in sequential order. The plots can be saved as HTML documents
that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.

Lakshay Anand

chromoMap

pancandata: Gene Expression RNAseq data for Pancreatic Adenocarcinoma from TCGA

Description

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Examples