Evidence map›Paper›PMID 33791701›Full record

ArticlebioRxiv : the preprint server for biology2021

Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring.

Wolfgang Maier, Simon Bray, Marius van den Beek, Dave Bouvier, Nathaniel Coraor, Milad Miladi, Babita Singh, Jordi Rambla De Argila, Dannon Baker, Nathan Roach and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Wolfgang MaierUniversity of Freiburg / usegalaxy.eu, Freiburg, Germany.
Simon BrayUniversity of Freiburg / usegalaxy.eu, Freiburg, Germany.
Marius van den BeekThe Pennsylvania State University / usegalaxy.org, University Park, PA, USA.
Dave BouvierThe Pennsylvania State University / usegalaxy.org, University Park, PA, USA.
Nathaniel CoraorThe Pennsylvania State University / usegalaxy.org, University Park, PA, USA.
Milad MiladiUniversity of Freiburg / usegalaxy.eu, Freiburg, Germany.
Babita SinghGalaxyWorks Inc, Baltimore, MD, USA.
Jordi Rambla De ArgilaGalaxyWorks Inc, Baltimore, MD, USA.
Dannon BakerCentre for Genomic Regulation, Viral Beacon Project, Barcelona, Spain.
Nathan RoachJohns Hopkins University / usegalaxy.org, Baltimore, MD, USA.
Simon GladmanUniversity of Melbourne / usegalaxy.org.au, Melbourne, Australia.
Frederik CoppensGhent University, Ghent, Belgium.
Darren P MartinUniversity of Cape Town, Cape Town, South Africa.
Andrew LonieUniversity of Melbourne / usegalaxy.org.au, Melbourne, Australia.
Björn GrüningUniversity of Freiburg / usegalaxy.eu, Freiburg, Germany.
Sergei L Kosakovsky PondTemple University, Philadelphia / datamonkey.org, PA, USA.
Anton NekrutenkoThe Pennsylvania State University / usegalaxy.org, University Park, PA, USA.

Funding

Democratization of Data Analysis in Life Sciences Through GalaxyU41HG006620 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, SCHATZ, MICHAEL · 2012 to 2020
$14.4M
Turning big data analysis infrastructure for HIV researchR01AI134384 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, POND, SERGEI L KOSAKOVSKY · 2017 to 2021
$4.2M
HyPhy: Molecular Evolutionary AnalysesR01GM093939 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI MUSE, SPENCER V., POND, SERGEI L KOSAKOVSKY · 2010 to 2018
$2.5M
NHGRI NIH HHS U41 HG006620NIAID NIH HHS R01 AI134384NIGMS NIH HHS R01 GM093939
6 · The paper itself

Abstract

The COVID-19 pandemic is the first global health crisis to occur in the age of big genomic data.Although data generation capacity is well established and sufficiently standardized, analytical capacity is not. To establish analytical capacity it is necessary to pull together global computational resources and deliver the best open source tools and analysis workflows within a ready to use, universally accessible resource. Such a resource should not be controlled by a single research group, institution, or country. Instead it should be maintained by a community of users and developers who ensure that the system remains operational and populated with current tools. A community is also essential for facilitating the types of discourse needed to establish best analytical practices. Bringing together public computational research infrastructure from the USA, Europe, and Australia, we developed a distributed data analysis platform that accomplishes these goals. It is immediately accessible to anyone in the world and is designed for the analysis of rapidly growing collections of deep sequencing datasets. We demonstrate its utility by detecting allelic variants in high-quality existing SARS-CoV-2 sequencing datasets and by continuous reanalysis of COG-UK data. All workflows, data, and documentation is available at https://covid19.galaxyproject.org .

Identifiers

PMID33791701
PMCPMC8010728

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.