9f3c0f2231367957a8a46854ddd444909b6b7fbd gperez2 Thu Apr 25 17:06:46 2024 -0700 Another fix to the paragraph indentation, refs #33251 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index c06c05d..6683e11 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -52,32 +52,32 @@ <p>You can sign-up to get these announcements via our <a target=_blank href="https://groups.google.com/a/soe.ucsc.edu/g/genome-announce?hl=en">Genome-announce</a> email list. We send around one short announcement email every two weeks.</p> <p>Smaller software changes are not announced here. A summary of the three-weekly release changes can be <a target=_blank href="https://genecats.gi.ucsc.edu/builds/versions.html">here</a>. For the full list of our daily code changes head to <a href="https://github.com/ucscGenomeBrowser/kent/commits/master" target=_blank>our GitHub page</a>.</p> <!-- ============= 2024 archived news ============= --> <a name="2024"></a> <a name="042524"></a> -<p> <h2>Apr. 25, 2024 New AbSplice Prediction Scores track for hg19</h2> +<p> We are excited to announce the release of the <a href="/cgi-bin/hgTrackUi?db=hg19&position=default&g=abSplice" target="_blank">AbSplice scores track</a> that was previously only on <a href="/cgi-bin/hgTrackUi?db=hg38&position=default&g=abSplice" target="_blank">GRCh38/hg38</a> and is now also available on the human GRCh37/hg19 genome assembly. AbSplice is a method that predicts aberrant splicing across human tissues, as described in <a href="https://doi.org/10.1038/s41588-023-01373-3" target="_blank">Wagner, Çelik et al., 2023</a>. This track consists of an aberrant splicing benchmark dataset that spans over 8.8 million rare variants in 49 human tissues from the <a target="_blank" href="https://www.gtexportal.org/home/samplingSitePage">Genotype-Tissue Expression (GTEx) dataset</a> and displays precomputed AbSplice scores for all possible single-nucleotide variants genome-wide. The AbSplice score is a probability estimate of how likely aberrant splicing of some sort takes place in a given tissue. Aberrant splicing predictions for tissues that are related to disease may prove to be helpful in identifying the effector gene. The authors <a href="https://github.com/gagneurlab/absplice?tab=readme-ov-file#output" target="_blank">suggest</a> three cutoffs which are represented by color in the track.</p>