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Andrew J. Lonie · Study

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Andrew J. Lonie

9 works· latest 2022· 1 institutionscluster: provisionalORCID 0000-0002-2006-3856

h-index7

i107

Citations1,611

Works here9

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Most cited in this library

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update2022 · 1,280 citations
Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud2015 · 118 citations
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv2019 · 81 citations
Investigating reproducibility and tracking provenance – A genomic workflow case study2017 · 76 citations
Ready-to-use public infrastructure for global SARS-CoV-2 monitoring2021 · 24 citations

Works

9 shown

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update

Nucleic Acids Research·2022·90 authors·Open access

1,280citations

Ready-to-use public infrastructure for global SARS-CoV-2 monitoring

Nature Biotechnology·2021·16 authors·Open access

24citations

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

bioRxiv (Cold Spring Harbor Laboratory)·2021·17 authors·preprint·Open access

10citations

Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv

GigaScience·2019·6 authors·Open access

81citations

Capturing interoperable reproducible workflows with Common Workflow Language

Research Explorer (The University of Manchester)·2018·6 authors·other·Open access

5citations

Investigating reproducibility and tracking provenance – A genomic workflow case study

BMC Bioinformatics·2017·4 authors·Open access

76citations

Genomics Virtual Laboratory: A Practical Bioinformatics Workbench for the Cloud

PLoS ONE·2015·11 authors·Open access

118citations

Challenges of Large-Scale Biomedical Workflows on the Cloud -- A Case Study on the Need for Reproducibility of Results

Proceedings - IEEE Symposium on Computer-Based Medical Systems·2015·4 authors·other

7citations

Predicting customer behaviour: The University of Melbourne's KDD Cup report

·2009·6 authors

10citations