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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
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Παύλος, Ελευθέριος
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Thesis advisor
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Ηλιόπουλος, Ιωάννης
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Reviewer
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Ανδρεάκος, Ευάγγελος
Παυλόπουλος, Γεώργιος
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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.
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Language |
Greek |
Subject |
Γλώσσα R |
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Πολυομικά δεδομένα |
Issue date |
2021-12-01 |
Collection
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School/Department--School of Medicine--Department of Medicine--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/f/3/f/metadata-dlib-1639746716-469782-10955.tkl
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Views |
236 |