55aaab6ba2eccf6a17b66f54d25d0b38517d5853 jnavarr5 Fri Feb 28 15:24:27 2025 -0800 Adding a sentence for the image. Updating the date for next monday. Adding thanks section, refs #34703 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index 1c42405e7fc..f0546f3793c 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -51,32 +51,32 @@
You can sign-up to get these announcements via our Genome-announce email list. We send around one short announcement email every two weeks.
Smaller software changes are not announced here. A summary of the three-weekly release changes can be found here. For the full list of our daily code changes head to our GitHub page. Lastly, see our credits page for acknowledgments of the data we host.
- -
We are happy to announce the release of new vertical highlight features for track hubs. These
settings follow exactly the same syntax and functionality as the filter
trackDb
settings, except instead of items being excluded from the display, they are striped with a colored
background to appear "highlighted" compared to the other items in the display.
The full list of highlight trackDb settings is available on the
trackDb definitions page.
Please note that at this time only one higlight color is available per track, and if multiple highlight settings are present on the same track, only items that pass ALL highlight settings will highlighted.
Examples:
@@ -90,31 +90,36 @@ highlightText.name NM*
The example above uses the highlightText
setting which will apply a highlight on the
field name
. Using this setting, any items that begin with NM are
highlighted.
highlightColor #ff0000
In this final example, the highlightColor
to set the default highlight color. With
this setting, all highlight stripes will use the color red, #ff0000
.
Items in the NCBI RefSeq Historical track for hg38 has all items that begin with + "NM" are highlighted red.
+We would like to thank Chris Lee and Jairo Navarro for their efforts in creating and testing the +highlight feature for track hubs.
We are happy to announce the release of the enGenome VarChat track for the hg38/GRCh38 and hg19/GRCh37 human assemblies, available in the Variants in Papers superTrack. VarChat is an open platform that leverages the power of generative artificial intelligence to support the genomic variant interpretation process by searching the available scientific literature for each variant and condensing it into a brief yet informative text.