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POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes
POGO-DB (http://pogo.ece.drexel.edu/) provides an easy platform for comparative microbial genomics. POGO-DB allows users to compare genomes using pre-computed metrics that were derived from extensive computationally intensive BLAST comparisons of >2000 microbes. These metrics include (i) average...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964953/ https://www.ncbi.nlm.nih.gov/pubmed/24198250 http://dx.doi.org/10.1093/nar/gkt1094 |
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author | Lan, Yemin Morrison, J. Calvin Hershberg, Ruth Rosen, Gail L. |
author_facet | Lan, Yemin Morrison, J. Calvin Hershberg, Ruth Rosen, Gail L. |
author_sort | Lan, Yemin |
collection | PubMed |
description | POGO-DB (http://pogo.ece.drexel.edu/) provides an easy platform for comparative microbial genomics. POGO-DB allows users to compare genomes using pre-computed metrics that were derived from extensive computationally intensive BLAST comparisons of >2000 microbes. These metrics include (i) average protein sequence identity across all orthologs shared by two genomes, (ii) genomic fluidity (a measure of gene content dissimilarity), (iii) number of ‘orthologs’ shared between two genomes, (iv) pairwise identity of the 16S ribosomal RNA genes and (v) pairwise identity of an additional 73 marker genes present in >90% prokaryotes. Users can visualize these metrics against each other in a 2D plot for exploratory analysis of genome similarity and of how different aspects of genome similarity relate to each other. The results of these comparisons are fully downloadable. In addition, users can download raw BLAST results for all or user-selected comparisons. Therefore, we provide users with full flexibility to carry out their own downstream analyses, by creating easy access to data that would normally require heavy computational resources to generate. POGO-DB should prove highly useful for researchers interested in comparative microbiology and benefit the microbiome/metagenomic communities by providing the information needed to select suitable phylogenetic marker genes within particular lineages. |
format | Online Article Text |
id | pubmed-3964953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39649532014-03-25 POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes Lan, Yemin Morrison, J. Calvin Hershberg, Ruth Rosen, Gail L. Nucleic Acids Res IV. Viruses, bacteria, protozoa and fungi POGO-DB (http://pogo.ece.drexel.edu/) provides an easy platform for comparative microbial genomics. POGO-DB allows users to compare genomes using pre-computed metrics that were derived from extensive computationally intensive BLAST comparisons of >2000 microbes. These metrics include (i) average protein sequence identity across all orthologs shared by two genomes, (ii) genomic fluidity (a measure of gene content dissimilarity), (iii) number of ‘orthologs’ shared between two genomes, (iv) pairwise identity of the 16S ribosomal RNA genes and (v) pairwise identity of an additional 73 marker genes present in >90% prokaryotes. Users can visualize these metrics against each other in a 2D plot for exploratory analysis of genome similarity and of how different aspects of genome similarity relate to each other. The results of these comparisons are fully downloadable. In addition, users can download raw BLAST results for all or user-selected comparisons. Therefore, we provide users with full flexibility to carry out their own downstream analyses, by creating easy access to data that would normally require heavy computational resources to generate. POGO-DB should prove highly useful for researchers interested in comparative microbiology and benefit the microbiome/metagenomic communities by providing the information needed to select suitable phylogenetic marker genes within particular lineages. Oxford University Press 2014-01-01 2013-11-05 /pmc/articles/PMC3964953/ /pubmed/24198250 http://dx.doi.org/10.1093/nar/gkt1094 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | IV. Viruses, bacteria, protozoa and fungi Lan, Yemin Morrison, J. Calvin Hershberg, Ruth Rosen, Gail L. POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes |
title | POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes |
title_full | POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes |
title_fullStr | POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes |
title_full_unstemmed | POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes |
title_short | POGO-DB—a database of pairwise-comparisons of genomes and conserved orthologous genes |
title_sort | pogo-db—a database of pairwise-comparisons of genomes and conserved orthologous genes |
topic | IV. Viruses, bacteria, protozoa and fungi |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964953/ https://www.ncbi.nlm.nih.gov/pubmed/24198250 http://dx.doi.org/10.1093/nar/gkt1094 |
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