GRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases

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dc.contributor.authorBrittain, John-Stuart
dc.contributor.authorInward, Rhys
dc.contributor.authorMwanyika, Gaspary
dc.contributor.authorTegally, Houriiyah
dc.contributor.authorGithinji, George
dc.contributor.authorTsui , Joseph
dc.contributor.authorGutierrez, Bernardo
dc.contributor.authorHuynh, Tuyen
dc.contributor.authorKifle Tessema, Sofonias
dc.contributor.authorMcCrone, John T.
dc.contributor.authorBhatt, Samir
dc.contributor.authorDasgupta, Abhishek
dc.contributor.authorRatcliffe, Stephen
dc.contributor.authorKraemer, Moritz U.G.
dc.date.accessioned2025-06-05T09:41:10Z
dc.date.available2025-06-05T09:41:10Z
dc.date.issued2025-05-29
dc.descriptionThis Journal article was published by Wellcome Open Research in 2025
dc.description.abstractThe increase in volume and diversity of relevant data on infectious diseases and their drivers provides opportunities to generate new scientific insights that can support ‘real-time’ decision-making in public health across outbreak contexts and enhance pandemic preparedness. However, utilising the wide array of clinical, genomic, epidemiological, and spatial data collected globally is difficult due to differences in data preprocessing, data science capacity, and access to hardware and cloud resources. To facilitate large-scale and routine analyses of infectious disease data at the local level (i.e. without sharing data across borders), we developed GRAPEVNE (Graphical Analytical Pipeline Development Environment), a platform enabling the construction of modular pipelines designed for complex and repetitive data analysis workflows through an intuitive graphical interface
dc.identifier.urihttps://doi.org/10.12688/wellcomeopenres.23824.1
dc.identifier.urihttps://repository.must.ac.tz/handle/123456789/318
dc.language.isoen
dc.publisherWellcome Open Research
dc.titleGRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases
dc.typeArticle
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