Recovery of high-quality MAGs in time-serial metagenomic data and FixAME development: an assisting curation tool of genomic assembly error

On a daily based, there is a huge amount of biological data being generated that brings deeper insight into our world. This exponential growth of information has brought many challenges, especially when dealing with metagenomic data. Thousands of metagenomic-assembled genomes (MAG) are recovered ann...

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Detalles Bibliográficos
Autor: Moura, Livia Maria Silva
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade de São Paulo (USP)
Repositorio:Biblioteca Digital de Teses e Dissertações da USP
Idioma:inglés
OAI Identifier:oai:teses.usp.br:tde-19072022-153242
Acceso en línea:https://www.teses.usp.br/teses/disponiveis/95/95131/tde-19072022-153242/
Access Level:acceso abierto
Palabra clave:Bioinformática
Bioinformatics
Curadoria
Curation
Ferramenta
Genoma
Genome
Metagenome
Metagenomica
Microbiologia
Microbiology
Tool
Descripción
Sumario:On a daily based, there is a huge amount of biological data being generated that brings deeper insight into our world. This exponential growth of information has brought many challenges, especially when dealing with metagenomic data. Thousands of metagenomic-assembled genomes (MAG) are recovered annually, and many methods try to achieve the best output possible through assembly and binning approaches. But the question that every time is more frequent is: Are these MAGs reliable? The importance of having good quality data is undeniable. Retrieving reliable and complete, or nearly-complete MAGs, provides important data for further analysis and research purposes. Within this scenario, we\'d like to know if it is possible to improve the MAGs metrics quality when compared to the state-of-the art in time series data. In addition, we\'d like to develop a tool capable of locating and fixing assembly errors, thereby assisting in genomic curation. Here, we describe an approach of MAGs recovery from time-serial data called the \"screening method\", drastically reducing the recovery from potentially unreliable MAGs. In addition, we present FixAME, a tool capable of helping curate assembled sequences of metagenome, single genome, a set of bins, phages, archaea, or any organism that contains single double-stranded DNA.