Publikation: Dissertationsschrift

Customized workflow development and omics data integration concepts in systems medicine

Grunddaten
Abstract
Autoren

Grunddaten

Titel	Customized workflow development and omics data integration concepts in systems medicine
Erscheinungsjahr	2020
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
DOI	10.18453/rosdok_id00002868
Letzte Änderung	09.01.2021 06:05:23
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/64742
Links zu Katalogen

Abstract

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.

Autor

Wolfien, Markus