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https://www.ncbi.nlm.nih.gov/genbank/sars-cov-2-seqs/
Collection of SARS-CoV-2 sequences currently available in GenBank genetic sequence database and Sequence Read Archive. Updated as additional sequences are released.
Proper citation: SARS-CoV-2-Sequences (RRID:SCR_018319) Copy
https://www.xsede.org/covid19-hpc-consortium
Consortium encompasses computing capabilities from powerful and advanced computers in the world. Used to empower researchers to accelerate understanding of COVID-19 virus and development of treatments and vaccines to help address infections. Teams who receive Consortium access will publish their results in open scientific literature. All supported projects will have name of principal investigator, project title and project abstract posted to COVID-19 HPC Consortium web site.
Proper citation: COVID-19 High Performance Computing Consortium (RRID:SCR_018287) Copy
Portal to share hCoV-19 genome sequences. Collection of genome sequences and related clinical and epidemiological data associated with coronavirus hCoV-19. Global repository of SARS-CoV-2 genomes. Initiative involves public-private-partnerships between Freunde of GISAID and governments of Federal Republic of Germany, Singapore and United States of America, with support from private and corporate philanthropy.International database of hCoV-19 genome sequences and related clinical and epidemiological data. Resource for influenza and hCoV-19 data.
Proper citation: Global Initiative on Sharing All Influenza Data (RRID:SCR_018251) Copy
https://amp.pharm.mssm.edu/covid19/
Software tool as interface to submit, serve, and analyze COVID19 related gene and drug sets. Collection of gene and drug sets related to COVID-19 research contributed by community.
Proper citation: COVID-19 Crowd Generated Gene and Drug Set Library (RRID:SCR_018252) Copy
Web provides tools for modeling 3D structures of molecules and complexes containing carbohydrates including oligosaccharide conformation modeling and glycoprotein 3D structure modeling. Used to simplify prediction of three dimensional structures of carbohydrates and macromolecular structures involving carbohydrates.
Proper citation: GLYCAM-Web (RRID:SCR_018260) Copy
Portal for Global Mouse Models for COVID-19 consortium. Presents consortium, its statement and membership, and URLs for mouse COVID-19 resources worldwide.
Proper citation: mousecovid.org (RRID:SCR_018814) Copy
https://ncats.nih.gov/n3c/about
Portal for centralized national data to study COVID-19 and identify potential treatments.Centralized, secure analytics platform where patient privacy is protected. Enables collection and analysis of clinical, laboratory and diagnostic data from hospitals and health care plans. Data are provided after executing data transfer agreement with National Center for Advancing Translational Sciences. N3C is partnership among NCATS supported Clinical and Translational Science Awards Program hubs and National Center for Data to Health with overall stewardship by NCATS.
Proper citation: National COVID Cohort Collaborative (RRID:SCR_018757) Copy
https://marks.hms.harvard.edu/sars-cov-2/
Portal for quantitative models using virus sequence variation to predict mutation effects for SARS-CoV-2 proteins, alignments to homologs in other viruses, 3D structures, evolutionarily coupled residues and structure predictions.
Proper citation: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation (RRID:SCR_018759) Copy
Consortium to unite efforts and resources from experts across globe to advance effective, antibody based therapies against novel coronavirus, SARS-CoV-2. Represents multidisciplinary convergence of structural biology, virologists, immunologists, clinicians and bioinformaticians from academic and industry settings. Collects antibodies for testing as part of CoVICS. Contributed antibodies are blinded and will only be known as code name. Antibody contributors will be able to see performance of their own molecules and take part in analysis. Contributors retain ownership of their antibodies and may continue to publish on them using original antibody names. Goal is to determine relative in vitro potency and in vivo efficacy using centralized standardized assays to identify best individual mAbs and rational combinations of mAbs. Consortium will recommend ideal therapeutic molecules for human use to protect vulnerable populations from COVID-19 disease. CoVIC database (CoVIC-DB) will serve as clearinghouse for monoclonal antibodies against SARS-CoV-2. Database will catalog contributed antibodies in searchable resource and provide interactive analysis tools for comparisons among them.
Proper citation: Coronavirus Immunotherapy Consortium (RRID:SCR_018258) Copy
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