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M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data

Large-scale mining and analysis of bacterial datasets contribute to the comprehensive characterization of complex microbial dynamics within a microbiome and among different bacterial strains, e.g., during disease outbreaks. The study of large-scale bacterial evolutionary dynamics poses many challeng...

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Detalles Bibliográficos
Autores principales: Avram, Oren, Rapoport, Dana, Portugez, Shir, Pupko, Tal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602433/
https://www.ncbi.nlm.nih.gov/pubmed/31114912
http://dx.doi.org/10.1093/nar/gkz423
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author Avram, Oren
Rapoport, Dana
Portugez, Shir
Pupko, Tal
author_facet Avram, Oren
Rapoport, Dana
Portugez, Shir
Pupko, Tal
author_sort Avram, Oren
collection PubMed
description Large-scale mining and analysis of bacterial datasets contribute to the comprehensive characterization of complex microbial dynamics within a microbiome and among different bacterial strains, e.g., during disease outbreaks. The study of large-scale bacterial evolutionary dynamics poses many challenges. These include data-mining steps, such as gene annotation, ortholog detection, sequence alignment and phylogeny reconstruction. These steps require the use of multiple bioinformatics tools and ad-hoc programming scripts, making the entire process cumbersome, tedious and error-prone due to manual handling. This motivated us to develop the M1CR0B1AL1Z3R web server, a ‘one-stop shop’ for conducting microbial genomics data analyses via a simple graphical user interface. Some of the features implemented in M1CR0B1AL1Z3R are: (i) extracting putative open reading frames and comparative genomics analysis of gene content; (ii) extracting orthologous sets and analyzing their size distribution; (iii) analyzing gene presence–absence patterns; (iv) reconstructing a phylogenetic tree based on the extracted orthologous set; (v) inferring GC-content variation among lineages. M1CR0B1AL1Z3R facilitates the mining and analysis of dozens of bacterial genomes using advanced techniques, with the click of a button. M1CR0B1AL1Z3R is freely available at https://microbializer.tau.ac.il/.
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spelling pubmed-66024332019-07-05 M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data Avram, Oren Rapoport, Dana Portugez, Shir Pupko, Tal Nucleic Acids Res Web Server Issue Large-scale mining and analysis of bacterial datasets contribute to the comprehensive characterization of complex microbial dynamics within a microbiome and among different bacterial strains, e.g., during disease outbreaks. The study of large-scale bacterial evolutionary dynamics poses many challenges. These include data-mining steps, such as gene annotation, ortholog detection, sequence alignment and phylogeny reconstruction. These steps require the use of multiple bioinformatics tools and ad-hoc programming scripts, making the entire process cumbersome, tedious and error-prone due to manual handling. This motivated us to develop the M1CR0B1AL1Z3R web server, a ‘one-stop shop’ for conducting microbial genomics data analyses via a simple graphical user interface. Some of the features implemented in M1CR0B1AL1Z3R are: (i) extracting putative open reading frames and comparative genomics analysis of gene content; (ii) extracting orthologous sets and analyzing their size distribution; (iii) analyzing gene presence–absence patterns; (iv) reconstructing a phylogenetic tree based on the extracted orthologous set; (v) inferring GC-content variation among lineages. M1CR0B1AL1Z3R facilitates the mining and analysis of dozens of bacterial genomes using advanced techniques, with the click of a button. M1CR0B1AL1Z3R is freely available at https://microbializer.tau.ac.il/. Oxford University Press 2019-07-02 2019-05-22 /pmc/articles/PMC6602433/ /pubmed/31114912 http://dx.doi.org/10.1093/nar/gkz423 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Avram, Oren
Rapoport, Dana
Portugez, Shir
Pupko, Tal
M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data
title M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data
title_full M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data
title_fullStr M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data
title_full_unstemmed M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data
title_short M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data
title_sort m1cr0b1al1z3r—a user-friendly web server for the analysis of large-scale microbial genomics data
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602433/
https://www.ncbi.nlm.nih.gov/pubmed/31114912
http://dx.doi.org/10.1093/nar/gkz423
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