20.500.12556/RUL-124366 Computational framework for high-quality production and large-scale evolutionary analysis of metagenome assembled genomes Microbial species play important roles in different environments and the production of high-quality genomes from metagenome data sets represents a major obstacle to understanding their ecological and evolutionary dynamics. Metagenome-Assembled Genomes Orchestra (MAGO) is a computational framework that integrates and simplifies metagenome assembly, binning, bin improvement, bin quality (completeness and contamination), bin annotation, and evolutionary placement of bins via detailed maximum-likelihood phylogeny based on multiple marker genes using different amino acid substitution models, next to average nucleotide identity analysis of genomes for delineation of species boundaries and operational taxonomic units. MAGO offers streamlined execution of the entire metagenomics pipeline, error checking, computational resource distribution and compatibility of data formats, governed by usertailored pipeline processing. MAGO is an open-source-software package released in three different ways, as a singularity image and a Docker container for HPC purposes as well as for running MAGO on a commodity hardware, and a virtual machine for gaining a full access to MAGO underlying structure and source code. MAGO is open to suggestions for extensions and is amenable for use in both research and teaching of genomics and molecular evolution of genomes assembled from small single-cell projects or large-scale and complex environmental metagenomes. metagenomics evolutionary analyses microbial draft genomes species boundaries FastANI genome assembly and binning mikrobiologija genetika bioinformatika MAGO true false true Angleški jezik Slovenski jezik Članek v reviji 2021-01-18 13:44:24 2021-01-18 13:44:26 2023-05-05 03:32:31 0000-00-00 00:00:00 2020 0 0 Str. 593-598 iss. 2 Vol. 37 2020 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 579:575 0737-4038 10.1093/molbev/msz237 4315528 236111 https://academic.oup.com/mbe/article/37/2/593/5601623 0 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=139801 RAZ_Murovec_Bostjan_2020.pdf RAZ_Murovec_Bostjan_2020.pdf 1 7BAD30B31AB4A9F5CE3AFD02D489044F e7a0bc80534c0ad0a9219c82cf7f05b7a23b8877620a84cc3733e1102d940937 170f55f4-ea68-11ed-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=168617 Fakulteta za elektrotehniko Biotehniška fakulteta Medicinska fakulteta Fakulteta za gradbeništvo in geodezijo 0 0 0