Thesis Details
Tool for Visualization of Microbiome Data
This Bachelor's thesis focuses on the development of a new tool for the visualization of microbiome data. The developed tool uses Principal Component Analysis (PCA) and Principal Coordinates Analysis (PCoA) for dimension reduction. Bray-Curtis difference and UniFrac distance metric are used for distance matrix calculation. Then, the processed data is colored based on user-selected metadata. The results are presented by two types of graphs. The first is a bar chart and shows the proportion of each principal component. The second, scatter chart, visualize the final result of the required analysis. As part of the development of the tool, the possibility to download the calculated matrix and also a table of the first N main components calculated by the analysis were added.
16S rRNA, Bioinformatics, Bray-Curtis dissimilarity, Distance matrix, DNA, Emperor, Meta-genomics, Microbiome, Microbiota, PCA, PCoA, Phylogenetic tree, RNA, Tensorflow Embedding Projector, UniFrac, visualization
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT24220,
author = "Silvia Mi\v{s}\'{a}kov\'{a}",
type = "Bachelor's thesis",
title = "Tool for Visualization of Microbiome Data",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2021,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/24220/"
}