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Dataset supporting the University of Southampton Doctoral Thesis 'Investigating the Impact of Hypoxia on the Host-Pathogen Interactions in the Lung'

Dataset supporting the University of Southampton Doctoral Thesis 'Investigating the Impact of Hypoxia on the Host-Pathogen Interactions in the Lung'
Dataset supporting the University of Southampton Doctoral Thesis 'Investigating the Impact of Hypoxia on the Host-Pathogen Interactions in the Lung'
This dataset supports the University of Southampton Doctoral Thesis 'Investigating the Impact of Hypoxia on the Host-Pathogen Interactions in the Lung' The dataset includes RNA sequencing transcriptomics bioinformatic data. This includes human lung tissue explant bioinformatic analysis datasets and BCi-NS1.1 cell bioinformatics data. Original data was RNA collected from human lung tissue and airway cell cultures. RNA was sequenced by Novogene and the gene count file was sent to the user. Samples were analysed in the R software package and any data created was generated into Excel file format. The data is accessible via CC-BY license Related projects/Funders: Project funders: Biotechnology and Biological Sciences Research Council and GlaxoSmithKline (GSK)
University of Southampton
Page, Lee Kevin
541eea0a-19ec-4326-bce2-b2931b393fbf
Page, Lee Kevin
541eea0a-19ec-4326-bce2-b2931b393fbf

Page, Lee Kevin (2024) Dataset supporting the University of Southampton Doctoral Thesis 'Investigating the Impact of Hypoxia on the Host-Pathogen Interactions in the Lung'. University of Southampton doi:10.5258/SOTON/D2935 [Dataset]

Record type: Dataset

Abstract

This dataset supports the University of Southampton Doctoral Thesis 'Investigating the Impact of Hypoxia on the Host-Pathogen Interactions in the Lung' The dataset includes RNA sequencing transcriptomics bioinformatic data. This includes human lung tissue explant bioinformatic analysis datasets and BCi-NS1.1 cell bioinformatics data. Original data was RNA collected from human lung tissue and airway cell cultures. RNA was sequenced by Novogene and the gene count file was sent to the user. Samples were analysed in the R software package and any data created was generated into Excel file format. The data is accessible via CC-BY license Related projects/Funders: Project funders: Biotechnology and Biological Sciences Research Council and GlaxoSmithKline (GSK)

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Thesis_Transcriptomics.zip - Collection
Restricted to System admin until 17 January 2025.
Available under License Creative Commons Attribution.
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Readme for the dataset D2935 LeePage_PhD_Thesis.txt - Text
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More information

Published date: 17 January 2024
Related URLs:

Identifiers

Local EPrints ID: 486778
URI: http://eprints.soton.ac.uk/id/eprint/486778
DOI: doi:10.5258/SOTON/D2935
PURE UUID: c937bbbd-b921-4beb-8ae4-f42a8bd6aa17
ORCID for Lee Kevin Page: ORCID iD orcid.org/0000-0001-7435-1813

Catalogue record

Date deposited: 06 Feb 2024 17:35
Last modified: 08 Feb 2024 02:56

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Contributors

Creator: Lee Kevin Page ORCID iD

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