Title: Chromatographic Data Analysis Toolset
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr,
Packaged: 2022-08-22 15:51:16 UTC; ethanbass

Packaged: 2022-08-23 14:07:58 UTC; ethanbass

Title: Interface to Chromosome Counts Database API
Authors@R: person("Matthew", "Pennell", role = c("aut", "cre"),
Description: A programmatic interface to the Chromosome Counts Database
(http://ccdb.tau.ac.il/). This package is part of the rOpenSci suite

person("Matthew", "Pennell", role = "aut", email = "mwpennell@gmail.com",
person("Paula Andrea", "Martinez", email = "orchid00@gmail.com",
person("Karl W", "Broman", role=c("aut", "cre"), email="broman@wisc.edu",
This package is part of the rOpenSci suite (<https://ropensci.org>).
Author: Matthew Pennell [aut] (<https://orcid.org/0000-0002-2886-3970>),
Paula Andrea Martinez [aut] (<https://orcid.org/0000-0002-8990-1985>),

This package is part of the 'ROpenSci' suite (<https://ropensci.org>).

Title: Interactive Visualization and Mapping of Human Chromosomes
Authors@R: person("Lakshay", "Anand", email = "lakshayanand15@gmail.com", role = c("aut", "cre"))
Description: 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.
Imports: htmltools (>= 0.3.6), htmlwidgets (>= 1.0)