Data

Paediatric sepsis whole blood transcriptomics

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:doi10.48610/7f1ad77&rft.title=Paediatric sepsis whole blood transcriptomics&rft.identifier=RDM ID: 863b6959-3aa3-4073-9bcd-1e322fd5db85&rft.publisher=The University of Queensland&rft.description=This dataset was generated using Illumina sequencing of RNA extracted from whole blood of patients presenting with sepsis to ICU and ED. 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 and non-infectious sepsis, as well as to find biomarkers which can distinguish severe from less severe disease, as measured by total number of organ dysfunctions. The data sets consists of a discovery and validation cohort.&rft.creator=Dr Devika Ganesamoorthy&rft.creator=Dr Devika Ganesamoorthy&rft.creator=Dr Lachlan Coin&rft.creator=Dr Lachlan Coin&rft.date=2024&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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[email protected]
Child Health Research Centre

Full description

This dataset was generated using Illumina sequencing of RNA extracted from whole blood of patients presenting with sepsis to ICU and ED. 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 and non-infectious sepsis, as well as to find biomarkers which can distinguish severe from less severe disease, as measured by total number of organ dysfunctions. The data sets consists of a discovery and validation cohort.

Issued: 2024

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

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Identifiers
ACN 633 798 857