Jupyter notebook for eqtl analysis Version 1
SEEK ID: https://fairdomhub.org/data_files/8260?version=1
Filename:
eqtl_IRN.ipynb
Format: Jupyter notebook document
Size: 920 KB
Export PNG
Creators and SubmitterViews: 92 Downloads: 11
Created: 19th Jan 2026 at 19:15
TagsThis item has not yet been tagged.
AttributionsNone
Version History
Version 1 (earliest) Created 19th Jan 2026 at 19:15 by Ayat Ismail
No revision comments
Related items
Projects: Group Data Science, Methylation differences during respiratory infection, Implementation of Nanopore Sequencing for Detection of Treatment Induced Transcriptomic and Epitranscriptomic Changes in Leukaemic Tumour Models, OMICS of vascular smooth muscle cells under oxidative stress, Systems genetics of lung health and asthma (GWAS, PGS, QTL)
Institutions: Forschungszentrum Borstel
The FZB is the lung research center of the Leibniz Association and is therefore committed to the motto “theoria cum praxi”.
The FZB sees its scientific and socio-political task in basic, disease- and patient-oriented lung research and training in this field. The field of research includes chronic inflammatory diseases of the lung of infectious and non-infectious environmental and behavioral origin. Research focuses on tuberculosis, infections with non-tuberculous mycobacteria and other bacterial ...
Projects: Group Data Science, Group Microbial Interface Biology, Core Facility Fluorescence Cytometry, Targeting the immunoproteasome: Analyzing the biological effects of specific versus pan inhibition, Macrophage and neutrophil redox proteome in infection with Mycobacterium tuberculosis, Methylation differences during respiratory infection, Lipid droplet formation and dynamics in murine macrophages, OMICS of vascular smooth muscle cells under oxidative stress, Systems genetics of lung health and asthma (GWAS, PGS, QTL), Archaean stimulation of human primary PBMCs and PBMCs monocytes
Web page: https://fz-borstel.de
This project collects summary information and (visual) characterizations of lung health related polygenic scores and underlying GWAS, based on publicly available data.
Programme: Research Center Borstel
Public web page: Not specified
