Main logo
?
tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

SNPchip | R classes and methods for SNP array data

Online

Contains classes and methods useful for storing, visualizing and analyzing high density SNP data. Originally developed from the SNPscan web-tool, SNPchip utilizes S4 classes and extends other open source R tools available at Bioconductor. We extended the classes defined in Biobase to accommodate SNP chip data and have added methods useful for producing visual and descriptive summaries. In particular, the plotting methods are useful for identifying regions of probable chromosomal anomalies, with the capability of producing both broad (genome-wide) and focused (chromosome-specific) views of copy number and genotype data.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

SNPchip forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

SNPchip classification

SNPchip specifications

Unique identifier:
OMICS_02069
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes

SNPchip distribution

versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

SNPchip support

Documentation

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

Institution(s)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.