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Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
View ORCID ProfileBen Blamey, Salman Toor, Martin Dahlö, Håkan Wieslander, Philip J Harrison, Ida-Maria Sintorn, Alan Sabirsh, Carolina Wählby, View ORCID ProfileOla Spjuth, Andreas Hellander
doi: https://doi.org/10.1101/2020.09.13.274779
Ben Blamey
1Department of Information Technology, Uppsala University, Sweden
Salman Toor
1Department of Information Technology, Uppsala University, Sweden
Martin Dahlö
2Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Sweden
3Science for Life Laboratory, Uppsala University, Stockholm, Sweden
Håkan Wieslander
1Department of Information Technology, Uppsala University, Sweden
Philip J Harrison
2Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Sweden
3Science for Life Laboratory, Uppsala University, Stockholm, Sweden
Ida-Maria Sintorn
1Department of Information Technology, Uppsala University, Sweden
3Science for Life Laboratory, Uppsala University, Stockholm, Sweden
4Vironova AB, Stockholm, Sweden
Alan Sabirsh
5Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg, Sweden
Carolina Wählby
1Department of Information Technology, Uppsala University, Sweden
3Science for Life Laboratory, Uppsala University, Stockholm, Sweden
Ola Spjuth
2Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Sweden
3Science for Life Laboratory, Uppsala University, Stockholm, Sweden
Andreas Hellander
1Department of Information Technology, Uppsala University, Sweden
Posted September 14, 2020.
Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
Ben Blamey, Salman Toor, Martin Dahlö, Håkan Wieslander, Philip J Harrison, Ida-Maria Sintorn, Alan Sabirsh, Carolina Wählby, Ola Spjuth, Andreas Hellander
bioRxiv 2020.09.13.274779; doi: https://doi.org/10.1101/2020.09.13.274779
Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
Ben Blamey, Salman Toor, Martin Dahlö, Håkan Wieslander, Philip J Harrison, Ida-Maria Sintorn, Alan Sabirsh, Carolina Wählby, Ola Spjuth, Andreas Hellander
bioRxiv 2020.09.13.274779; doi: https://doi.org/10.1101/2020.09.13.274779
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