Data

Nanopore sepsis direct RNA

The University of Queensland
Dr Devika Ganesamoorthy (Aggregated by) Dr Devika Ganesamoorthy (Aggregated by) Dr Lachlan Coin (Aggregated by) Dr Lachlan Coin (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/ac61d77&rft.title=Nanopore sepsis direct RNA&rft.identifier=RDM ID: bbeb32e5-4fcb-4d76-ae77-56864bd1b356&rft.publisher=The University of Queensland&rft.description=This dataset was generated using Oxford Nanopore technologies direct RNA sequencing of RNA extracted from whole blood of patients presenting with sepsis to Intensive care units and/or Emergency department, using R9.4 flowcells. The dataset was generated in order to find biomarkers which can distinguish different disease classes (i.e. reasons for febrile illness) including bacterial infection, viral infection.The data sets consists 12 samples. The samples are a subset of samples available from the companion dataset sequenced using short read Illumina sequencing (https://doi.org/10.48610/7f1ad77). The count files generated from this dataset are available on github (https://github.com/abcdtree/dRNA-ONT-blood)&rft.creator=Dr Devika Ganesamoorthy&rft.creator=Dr Devika Ganesamoorthy&rft.creator=Dr Lachlan Coin&rft.creator=Dr Lachlan Coin&rft.date=2025&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Gene expression (incl. microarray and other genome-wide approaches)&rft_subject=Genetics&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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l.coin@imb.uq.edu.au
Child Health Research Centre

Full description

This dataset was generated using Oxford Nanopore technologies direct RNA sequencing of RNA extracted from whole blood of patients presenting with sepsis to Intensive care units and/or Emergency department, using R9.4 flowcells. The dataset was generated in order to find biomarkers which can distinguish different disease classes (i.e. reasons for febrile illness) including bacterial infection, viral infection.The data sets consists 12 samples. The samples are a subset of samples available from the companion dataset sequenced using short read Illumina sequencing (https://doi.org/10.48610/7f1ad77). The count files generated from this dataset are available on github (https://github.com/abcdtree/dRNA-ONT-blood)

Issued: 07 02 2025

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Subjects
Biological Sciences | Gene Expression (Incl. Microarray and Other Genome-Wide Approaches) | Genetics | eng |

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local : UQ:289097

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