23bea12e98867f3cd6b931d0537c68b57a2f0503 gperez2 Thu Jul 31 10:54:57 2025 -0700 Incorporating Lou's feedback to bedMethyl.html and announcing the bedMethyl/bigMethyl type, refs #36002 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index 928e8102a3c..7bf6187c402 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -52,30 +52,64 @@

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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.

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July 31, 2025    New bedMethyl and bigMethyl track type

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+We are excited to announce support for a new track format for visualizing DNA +methylation data: +bedMethyl. +This format, and its binary-indexed counterpart, bigMethyl, is designed to +represent methylation calls from bisulfite sequencing or similar methods at single-base resolution +across the genome.

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+The bedMethyl format extends the standard +BED 9 format to include additional fields +such as coverage, percent methylation, and the number of modified and canonical bases. When viewed +in the Genome Browser, hovering over or clicking an item reveals these additional details. Items are +color-coded from 0% methylated (blue) to +100% (red). Methylation calls are shown separately for CpG sites +(m) and non-CpG (CHG/CHH) sites (h). +

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+The bigMethyl +format allows fast access to large methylation datasets and is ideal for displaying +these tracks at scale in the Genome Browser.

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+For more information, see the +bedMethyl and bigMethyl Track Format help page. +

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+We would like to thank Brian Joseph Raney, Max Haeussler, and Gerardo Perez for their work +developing and testing this track format.

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July 23, 2025    Bionano DLE-1 CTTAAG sites for human, hg38 and hg19

We are happy to announce the release of the Bionano DLE-1 track for human assemblies hg38 and hg19. These tracks show the CTTAAG sites used by the Bionano Optical Genome Mapping system, an assay to detect structural variants.

OGM (Optical Genome Mapping) begins with the isolation of ultra-high molecular weight (UHMW) DNA from blood, bone marrow aspirates, cultured cells (including chorionic villi and amniocytes), tissue, or tumor biopsies. A single enzymatic reaction places fluorescent labels throughout the genome at a specific sequence motif. The labeled DNA molecules are linearized in nanochannel