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Diffstat (limited to 'doc/web')
| -rw-r--r-- | doc/web/about.org | 20 |
1 files changed, 12 insertions, 8 deletions
diff --git a/doc/web/about.org b/doc/web/about.org index b6387e7..ad13bc3 100644 --- a/doc/web/about.org +++ b/doc/web/about.org @@ -33,9 +33,10 @@ The *public sequence resource* is an initiative by [[https://github.com/arvados/ ontology experts who want to create something agile and useful for the wider research community. The initiative started at the COVID-19 biohackathon in April 2020 and is ongoing. The main project drivers -are Pjotr Prins (UTHSC), Peter Amstutz (Curii), Michael Crusoe (Common -Workflow Language), Thomas Liener (consultant, formerly EBI) and -Jerven Bolleman (Swiss Institute of Bioinformatics). +are Pjotr Prins (UTHSC), Peter Amstutz (Curii), Andrea Guarracino +(University of Rome Tor Vergata), Michael Crusoe (Common Workflow +Language), Thomas Liener (consultant, formerly EBI), Erik Garrison +(UCSC) and Jerven Bolleman (Swiss Institute of Bioinformatics). Notably, as this is a free software initiative, the project represents major work by hundreds of software developers and ontology and data @@ -48,11 +49,12 @@ bioinformatics using agile methods. Unlike the resources from large institutes we can improve things on a dime and anyone can contribute to building out this resource! -Importantly: all data is published under the [[https://creativecommons.org/licenses/by/4.0/][Creative Commons 4.0 -attribution license]] which means it data can be published and workflows -can run in public environments allowing for improved access for -research and reproducible results. This contrasts with some other -public resources, including GISAID. +Importantly: all data is published under either the [[https://creativecommons.org/licenses/by/4.0/][Creative Commons +4.0 attribution license]] or the [[https://creativecommons.org/share-your-work/public-domain/cc0/][CC0 “No Rights Reserved” license]] which +means it data can be published and workflows can run in public +environments allowing for improved access for research and +reproducible results. This contrasts with some other public resources, +including GISAID. * Why should I upload my data here? @@ -105,6 +107,8 @@ using workflows from the High Performance Open Biology Lab defined The Swiss Institute of Bioinformatics has included this data in https://covid-19-sparql.expasy.org/ and made it part of [[https://www.uniprot.org/][Uniprot]]. +The Pantograph [[https://graph-genome.github.io/][viewer]] uses PubSeq data for their visualisations. + [[https://uthsc.edu][UTHSC]] and [[https://www.ornl.gov/news/ornl-fight-against-covid-19][ORNL]] use COVID-19 PubSeq data for protein prediction and drug development. |