Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/37778
Title: | Classifying and discovering genomic sequences in metagenomic repositories |
Author: | Silva, Jorge Miguel Almeida, João Rafael Oliveira, José Luís |
Keywords: | Taxonomic Classification Organism Identification Compression Web Portal Data Aggregation Genomic Catalogue |
Issue Date: | 2023 |
Publisher: | Elsevier |
Abstract: | The taxonomic and functional composition of microbial communities from environmental, agricultural, and therapeutic settings is increasingly being studied using metagenomic methodologies in large-scale genomic applications. This has led to exponential growth in the field and has impacted on healthcare, pharmacology and biotechnology. However, with the current methodologies, it is sometimes difficult to obtain conclusive identification of an organism. In addition, the growth of the metagenomic field has led to the creation of large amounts of data held by different hosts, which characterize data differently and make analysis difficult. Therefore, correct data aggregation and classification improve and facilitate the discovery of repositories of interest. This paper tackles these issues by proposing a methodology for organism identification, data aggregation and content characterization, visualization and selection. We propose a three-step pipeline for organism identification that uses compression-based metrics, an aggregation mechanism for content characterization, and a web database catalogue for data exposition and visualization. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/37778 |
DOI: | 10.1016/j.procs.2023.01.441 |
ISSN: | 1877-0509 |
Appears in Collections: | DETI - Artigos IEETA - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Classifying-and-discovering-genomic-sequences-in-meta_2023_Procedia-Computer.pdf | 540.53 kB | Adobe PDF | View/Open |
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