If you're new to Genewindow, please check out a Quicktime demo showing Genewindow in action (small medium large). There are also supplemental materials available describing some details of Genewindow, in addition to the about page.
Genewindow is attempting to verify that your browser satisfies the requirements for using Genewindow's graphical interface.You are NOT using a supported browser. Please consult the matrix below for available browsers. You may also need to download and install the Adobe SVG Viewer .
We are temporarily experiencing technical issues that may
result in difficulties using Genewindow with Mozilla and
Genewindow works with the following browser versions and the Adobe SVG 3.0 plugin unless otherwise noted with an asterix (*).
manual installation of the
Adobe SVG Viewer 6.0 preview 1 is required. Additional instructions are also here. You may experience difficulties using
Genewindow with this version since it is a pre-release version, which has many
bugs and is not supported. Firefox 1.5 users see addition instructions here.
# The Adobe SVG Viewer for Linux is a beta version and thus you may experience difficulties using Genewindow. Known incompatibilities:
Once you are using a supported browser and have installed the correct Adobe SVG viewer for your browser you will see a green check mark above instead of the current red one and you may begin using Genewindow. Please see the about page for more information.
- Thank you for using
- Added mirRNAs to database and interface. They are displayed similarly to genes.
- A new quick search feature has been added in addition to viewing annotated FASTA sequences. See how to search for detailed instructions.
- Performance has been enhanced resulting in decreased wait times when retrieving and rendering genes and genomic regions.
- Users can now copy 600bps of annotated sequence on both sides of a polymorphism for assay design by clicking on the "view annotated sequence" link in the 'derived info' section of the polymorphism detail window.
- Genewindow is now current with NCBI genome build 37.2 and dbSNP build 132.
- Users can now filter SNPs by dbSNP submitter (e.g. HapMap SNPs) or by frequency.
- Polymorphism details now reflect CGF data separated from dbSNP's data.