Flu-CED: A comparative transcriptomics database of influenza virus-infected human and animal models.

ABSTRACT:

Background

The continuing emergence of influenza virus has highlighted the value of public databases and related bioinformatic analysis tools in investigating transcriptomic change caused by different influenza virus infections in human and animal models.

Methods

We collected a large amount of transcriptome research data related to influenza virus-infected human and animal models in public databases (GEO and ArrayExpress), and extracted and integrated array and metadata. The gene expression matrix was generated through strictly quality control, balance, standardization, batch correction, and gene annotation. We then analyzed gene expression in different species, virus, cells/tissues or after antibody/vaccine treatment and imported sample metadata and gene expression datasets

SUBMITTER: Wu Y 

PROVIDER: S-EPMC11680469 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature