News and Updates

IGV 2.0.4 has been released with bug fixes and enhancements for Goby alignments and the sample attribute display.  Details follow

There will be a major server outage to implement upgrades at the Broad Institute on Saturday,  July 9th.  This will impact the IGV servers, including the main launch page, genome, and data servers.  At various times the IGV application might complain about not being able to reach one or all of these.   We apologize for any inconvenience this causes.

Jim

IGV 2.0.2 has been released with bug fixes, and notably BigWig and BigBed support.

Release notes:

IGV now supports BigWig and BigBed formats in the Early Access build.  Please give them a try and report problems to https://groups.google.com/forum/#!forum/igv-help,  or just open an issue directly at  http://code.google.com/p/igv/issues/list.

IGV 2.0.1 has been released with some minor enhancements and several important bug fixes.  

IGV version 2.0 has been released, to install it please visit the downloads page.   See the feature guide for an overview of changes and new features.

IGV 2.0 beta is now available as an early access release.  See the user guide for more details.

 Dear IGV user,

We are preparing a resubmission of our R01 grant proposal to support the
continued development of the Integrative Genomics Viewer (IGV).  To help
ensure our funding we would greatly appreciate your email of support, if
you did not already send us one last April for our original submission. 
Specifically, it would help to include how the software has helped you
in your work (with references if possible) and what you view as the

IGV 1.5.44 has been released with the following bug fixes and enhancements:

IGV 1.5.37 has been released with a significant change affecting deep-coverage alignment files.  The maximum depth displayed at any individual locus is now limited to a user defined maximum setting.   All alignments are still used for the coverage track count,  but if necessary they are down-sampled to the maximum depth setting.  This results in a significant reduction in memory required for deep-coverage regions.   See the release notes for more details.