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

WebArrayDB

Online

Offers a convenient platform for bench biologists to access several cutting-edge microarray data analysis tools. Microarray analysis using WebArray can be executed in three steps: 1) uploading and managing files; 2) selecting datasets and methods for analysis; 3) browsing results. Partial web page for dual color array data analysis. While more sophisticated programs are available commercially, WebArray represents an excellent free open source software for microarray analysis that can be used by an average biologist after moderate training. To help biologists to understand the underlying statistics methods, we provide detailed explanations and references for most WebArray functions in the help document.

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

0 user reviews

No review has been posted.

WebArrayDB 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.

WebArrayDB classification

WebArrayDB specifications

Interface:
Web user interface
Input data:
A microarray intensity files, gene list file and others.
Computer skills:
Basic
Maintained:
Yes
Restrictions to use:
None
Output data:
The output files include tab-delimited text files and graphic plots that can be downloaded separately or viewed online.
Stability:
Stable

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)

Genomic Core Facility, Sidney Kimmel Cancer Center, San Diego, CA, USA; Department of Cancer Genetics, Sidney Kimmel Cancer Center, San Diego, CA, USA

Link to literature

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