diff options
| author | Peter Amstutz | 2020-08-05 16:06:11 -0400 |
|---|---|---|
| committer | GitHub | 2020-08-05 16:06:11 -0400 |
| commit | fdb1b012fc04ee07f401541e181e28fe442c9454 (patch) | |
| tree | 8486db1087692dffcea9d93814e436d9cf150b47 /bh20simplewebuploader/templates/blurb.html | |
| parent | 86f31ef60f65a820bf9ac25c3fc01c88f2a9ebfe (diff) | |
| parent | 2d20bf90497588a297ca98a78ee0fbbcadf95569 (diff) | |
| download | bh20-seq-resource-fdb1b012fc04ee07f401541e181e28fe442c9454.tar.gz bh20-seq-resource-fdb1b012fc04ee07f401541e181e28fe442c9454.tar.lz bh20-seq-resource-fdb1b012fc04ee07f401541e181e28fe442c9454.zip | |
Merge pull request #99 from AndreaGuarracino/patch-2
several fixes in the website, added links to video talk and poster, new pangenome generation workflow
Diffstat (limited to 'bh20simplewebuploader/templates/blurb.html')
| -rw-r--r-- | bh20simplewebuploader/templates/blurb.html | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/bh20simplewebuploader/templates/blurb.html b/bh20simplewebuploader/templates/blurb.html index 9eef7c2..067cc3b 100644 --- a/bh20simplewebuploader/templates/blurb.html +++ b/bh20simplewebuploader/templates/blurb.html @@ -2,12 +2,12 @@ This is the COVID-19 Public Sequence Resource (COVID-19 PubSeq) for SARS-CoV-2 virus sequences. COVID-19 PubSeq is a repository for sequences with a low barrier to entry for uploading sequence data - using best practices, including <a href="https://en.wikipedia.org/wiki/FAIR_data">FAIR data</a>. I.e., data published with a creative commons - CC0 or CC-4.0 license with metadata using state-of-the art standards + using best practices, including <a href="https://en.wikipedia.org/wiki/FAIR_data">FAIR data</a>. Data are published with + metadata using state-of-the art standards and, perhaps most importantly, providing standardised workflows that get triggered on upload, so that results are immediately available in standardised data formats. - + Your uploaded sequence will automatically be processed and incorporated into the public pangenome with metadata using worklows from the High Performance Open Biology Lab |