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http://hdl.handle.net/1942/45672| Title: | Processed exon counts from Lyme disease study (GEO accession number GSE63085) | Data Creator - person: | GORCZAK, Katarzyna | Data Creator - organization: | Hasselt University | Data Curator - person: | GORCZAK, Katarzyna | Data Curator - organization: | Hasselt University | Rights Holder - person: | GORCZAK, Katarzyna | Rights Holder - organization: | Hasselt University | Publisher: | Zenodo | Issue Date: | 2025 | Abstract: | We illustrate the use of different implementations of the hierarchical NB model by using a dataset obtained from an RNA-seq experiment Bouquet et al. [2016]. The raw data are publicly available under GEO accession number GSE63085. This is a processed dataset which contains 137,078 exons with a nonzero sum of counts across all samples, grouped into 18,765 protein-coding genes, were included in the analysis. Related works: J Bouquet, MJ Soloski, A Swei, C Cheadle, S Federman, JN Billaud, AW Rebman, B Kabre, R Halpert, M Boorgula, JN Aucott, and CY Chiu. Longitudinal transcriptome analysis reveals a sustained differential gene expression signature in patients treated for acute Lyme disease. mBio, 7(1):e00100–16, 2016. | Research Discipline: | Natural sciences > Biological sciences > Bioinformatics and computational biology > Computational evolutionary biology, comparative genomics and population genomics (01060305) | Keywords: | lyme disease;exon counts;gene expression | DOI: | 10.5281/zenodo.14908112. | Source: | Zenodo. 10.5281/zenodo.14908112. | License: | Creative Commons Attribution 4.0 International (CC-BY-4.0) | Access Rights: | Open Access | Version: | v1 | Category: | DS | Type: | Dataset |
| Appears in Collections: | Datasets |
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