10.18453/ROSDOK_ID00002868
Wolfien, Markus
Markus
Wolfien
http://d-nb.info/gnd/1223858677
https://orcid.org/0000-0002-1887-4772
Customized workflow development and omics data integration concepts in systems medicine
Universität Rostock
2020
004 Data processing Computer sciences
570 Life science
610 Medical sciences Medicine
en
http://purl.uni-rostock.de/rosdok/id00002868
urn:nbn:de:gbv:28-rosdok_id00002868-5
The ever-increasing amount and diversity of biological and medical data is a major challenge in computational analyses. Computational methods have to be combined into analysis workflows for seamless, swift, and transparent computation. In this work, numerous workflows were developed for the general processing of bulk RNA sequencing (RNA-Seq), single-cell sequencing experiments, and non-coding RNA identification. Mathematical concepts of machine learning and univariate meta-analyses were successfully implemented to independently investigate the role of cell therapies in cardiac regeneration.