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Identifier

000443965

Title

Επικύρωση στρατηγικών ενσωμάτωσης για βιολογικά δεδομένα υψηλής απόδοσης

Alternative Title

Validation of integration strategies for high-throughput biological data

Author

Παύλος, Ελευθέριος

Thesis advisor

Ηλιόπουλος, Ιωάννης

Reviewer

Ανδρεάκος, Ευάγγελος
Παυλόπουλος, Γεώργιος

Abstract

In recent years there has been a rapid increase in data generated in various scientific fields. Among them are those of medicine and biology. In the field of medical science there is a modern trend for personalized treatment of diseases which is more effective and targeted than the existing approaches. Achieving personalized treatment requires the collection and analysis of a large volume of patient’s data. The field of Bioinformatics is the scientific field that deals with the development of new methods for data collection, management and analysis. The development of new technologies such as Next Generation Sequencing (NGS) technologies have significantly reduced costs and facilitated the production of data such as DNA sequencing, measuring gene expression, etc. In the field of Bioinformatics, many tools have been developed, widely used, for the analysis of data of biomedical interest. However, most of these tools are designed to approach data of a single type, such as tools that are tailored to detect differences between patient groups in terms of gene expression. More recently, the field of multi-omics analysis has begun to develop, which concerns data from different studies (DNA methylation, expression of genes and proteins, body mutations, etc.). This approach aims to capture a more complete picture of the biological system under consideration or of a disease by drawing additional information from the combined analysis of the individual datasets. In the present work, the most common tools used today for the analysis of multi-omics data in the R programming language are presented, their function is verified and their visualization possibilities are listed in order to compare them in terms of interpreting the results.

Language

Greek

Subject

Γλώσσα R

Πολυομικά δεδομένα

Issue date

2021-12-01

Collection

School/Department--School of Medicine--Department of Medicine--Post-graduate theses

Type of Work--Post-graduate theses

Permanent Link

https://elocus.lib.uoc.gr//dlib/f/3/f/metadata-dlib-1639746716-469782-10955.tkl