eeb175f7075cf1fca96313b4892668d632157f82 jnavarr5 Mon Mar 3 15:29:51 2025 -0800 Fixing grammar for highlight announcement, refs #34703 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index aab58276057..1c087a8bd3d 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -62,60 +62,60 @@ credits page for acknowledgments of the data we host.
We are happy to announce the release of new 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, items 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 +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.
+be highlighted.Examples:
highlight.score 300
In the example above, the highlight.score
setting allows you to highlight items based
on the value of the score
field. Passing a value of 300 to the setting will highlight
all items with a score of 300 or above.
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.
+Items in the NCBI RefSeq Historical track for hg38 have all items that begin with + "NM" highlighted in 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