b9c4a07036e2828851f7e8558c267d7ce86823f9 ccpowell Wed Oct 16 09:41:52 2019 -0700 Editing the newarch.html for the GENCODE Genes release, refs #24087 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index 068b37e..beda37a 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -39,58 +39,61 @@
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Oct. 15, 2019    New GENCODE gene tracks for human (V32) and mouse (VM23)

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Oct. 16, 2019    New GENCODE Genes tracks for human (V32) and mouse (VM23)

-We are pleased to announce the release of the new GENCODE Gene annotation track for both +We are pleased to announce the release of updated GENCODE Genes annotation tracks for both the hg38/GRCh37 and mm10/GRCm38 assemblies corresponding to the Ensembl 98 release.

The following table provides statistics for the human V32 and mouse VM23 releases derived from the GTF files that contains annotations only on the main chromosomes. More information on how -they were generated can be found in the +these statistics were generated can be found on the GENCODE site. - + +
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- - - - -
Genes & transcriptshuman V32 Release statsmouse V23 Release stats
Protein-coding Genes19,96521,849
Protein-coding transcripts83,98659,188
Long non-coding RNA genes17,91013,201
Small non-coding RNA genes7,5766,108
+ Protein-coding Genes19,96521,849 + Protein-coding transcripts83,98659,188 + Long non-coding RNA genes17,91013,201 + Small non-coding RNA genes7,5766,108 + Psuedogenes14,74913,681 +

More details about the new GENCODE track can be found on the resepctive GENCODE description pages. -We would like to thank the GENCODE team and thank Brian Raney, Mark Diekhans, Jairo Navarro and +We would like to thank the GENCODE team and thank Brian Raney, Mark Diekhans, Jairo Navarro, and Conner Powell at UCSC for their work on this track.

Oct. 11, 2019    New "group auto-scale" option

A new "group auto-scale" option is now available for signal tracks collected together in composites. The original auto-scale setting, which is still available, acts to auto-scale each track individually inside a composite group. With the new "group auto-scale" setting, all of the tracks within the composite will scale to the track with the highest auto-scale value viewed in the region.

For example, below is a side-by-side image of two views of the same data from a selection of cell lines within a composite of related RNA-seq experiments. On the left is the original "auto-scale to data view" setting, where each track is auto-scaled to appear at each track's highest value. And on the right is