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It would be really cool if Qiita constructed new database-wide PCoAs on a nightly basis, and exposed the resulting .qzvs on the stats page.
There are a few perspectives that may be nice:
all public
all public/private
specific studies like Microsetta
For display of private data, it will be necessary to anonymize the study and sample IDs.
Storing the resulting PCoAs overtime will allow for easily producing derived figures, such as the convex hull volume growth.
GPU UniFrac is fast enough to be able to do this compute. And it recently was modified to enable a PCoA only output, which is valuable here as we don't need to save the resulting distance matrix.
The text was updated successfully, but these errors were encountered:
On Fri, Jan 20, 2023 at 9:10 AM Daniel McDonald ***@***.***> wrote:
It would be really cool if Qiita constructed new database-wide PCoAs on a
nightly basis, and exposed the resulting .qzvs on the stats page.
There are a few perspectives that may be nice:
- all public
- all public/private
- specific studies like Microsetta
For display of private data, it will be necessary to anonymize the study
and sample IDs.
Storing the resulting PCoAs overtime will allow for easily producing
derived figures, such as the convex hull volume growth.
GPU UniFrac is fast enough to be able to do this compute. And it recently
was modified to enable a PCoA only output, which is valuable here as we
don't need to save the resulting distance matrix.
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Justin Shaffer, PhD
Postdoctoral Researcher
Rob Knight Group
Department of Pediatrics, School of Medicine
University of California, San Diego
justinshafferbio.wordpress.com
It would be really cool if Qiita constructed new database-wide PCoAs on a nightly basis, and exposed the resulting .qzvs on the stats page.
There are a few perspectives that may be nice:
For display of private data, it will be necessary to anonymize the study and sample IDs.
Storing the resulting PCoAs overtime will allow for easily producing derived figures, such as the convex hull volume growth.
GPU UniFrac is fast enough to be able to do this compute. And it recently was modified to enable a PCoA only output, which is valuable here as we don't need to save the resulting distance matrix.
The text was updated successfully, but these errors were encountered: