Integration of Multi-Omic Datasets on Antimicrobial Resistance for Large-Scale Biomedical Data Science

Antimicrobial resistance (AMR) results in tremendous health risks, causing the World Health Organization to designate it as one of the significant burdens for modern society. Owing to ineffective antibiotics, once everyday surgeries will become life-threatening interventions. Rigorous governmental m...

Full description

Saved in:
Bibliographic Details
Main Author: Spänig, Sebastian
Contributors: Heider, Dominik (Prof. Dr.) (Thesis advisor)
Format: Doctoral Thesis
Language:English
Published: Philipps-Universität Marburg 2022
Subjects:
Online Access:PDF Full Text
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

PDF Full Text

Holdings details from
Call Number: urn:nbn:de:hebis:04-z2022-02195
Publication Date: 2022-07-04
Date of Acceptance: 2022-06-14
Downloads: 49 (2024), 119 (2023), 69 (2022)
License: https://rightsstatements.org/vocab/InC-NC/1.0/
Access URL: https://archiv.ub.uni-marburg.de/diss/z2022/0219
https://doi.org/10.17192/z2022.0219