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kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase

 : Microbial genome annotation is the process of identifying structural and functional elements in DNA sequences and subsequently attaching biological information to those elements. DRAM is a tool developed to annotate bacterial, archaeal, and viral genomes derived from pure cultures or metagenomes....

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Autores principales: Shaffer, Michael, Borton, Mikayla A, Bolduc, Ben, Faria, José P, Flynn, Rory M, Ghadermazi, Parsa, Edirisinghe, Janaka N, Wood-Charlson, Elisha M, Miller, Christopher S, Chan, Siu Hung Joshua, Sullivan, Matthew B, Henry, Christopher S, Wrighton, Kelly C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068739/
https://www.ncbi.nlm.nih.gov/pubmed/36857575
http://dx.doi.org/10.1093/bioinformatics/btad110
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author Shaffer, Michael
Borton, Mikayla A
Bolduc, Ben
Faria, José P
Flynn, Rory M
Ghadermazi, Parsa
Edirisinghe, Janaka N
Wood-Charlson, Elisha M
Miller, Christopher S
Chan, Siu Hung Joshua
Sullivan, Matthew B
Henry, Christopher S
Wrighton, Kelly C
author_facet Shaffer, Michael
Borton, Mikayla A
Bolduc, Ben
Faria, José P
Flynn, Rory M
Ghadermazi, Parsa
Edirisinghe, Janaka N
Wood-Charlson, Elisha M
Miller, Christopher S
Chan, Siu Hung Joshua
Sullivan, Matthew B
Henry, Christopher S
Wrighton, Kelly C
author_sort Shaffer, Michael
collection PubMed
description  : Microbial genome annotation is the process of identifying structural and functional elements in DNA sequences and subsequently attaching biological information to those elements. DRAM is a tool developed to annotate bacterial, archaeal, and viral genomes derived from pure cultures or metagenomes. DRAM goes beyond traditional annotation tools by distilling multiple gene annotations to genome level summaries of functional potential. Despite these benefits, a downside of DRAM is the requirement of large computational resources, which limits its accessibility. Further, it did not integrate with downstream metabolic modeling tools that require genome annotation. To alleviate these constraints, DRAM and the viral counterpart, DRAM-v, are now available and integrated with the freely accessible KBase cyberinfrastructure. With kb_DRAM users can generate DRAM annotations and functional summaries from microbial or viral genomes in a point-and-click interface, as well as generate genome-scale metabolic models from DRAM annotations. AVAILABILITY AND IMPLEMENTATION: For kb_DRAM users, the kb_DRAM apps on KBase can be found in the catalog at https://narrative.kbase.us/#catalog/modules/kb_DRAM. For kb_DRAM users, a tutorial workflow with all documentation is available at https://narrative.kbase.us/narrative/129480. For kb_DRAM developers, software is available at https://github.com/shafferm/kb_DRAM.
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spelling pubmed-100687392023-04-04 kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase Shaffer, Michael Borton, Mikayla A Bolduc, Ben Faria, José P Flynn, Rory M Ghadermazi, Parsa Edirisinghe, Janaka N Wood-Charlson, Elisha M Miller, Christopher S Chan, Siu Hung Joshua Sullivan, Matthew B Henry, Christopher S Wrighton, Kelly C Bioinformatics Applications Note  : Microbial genome annotation is the process of identifying structural and functional elements in DNA sequences and subsequently attaching biological information to those elements. DRAM is a tool developed to annotate bacterial, archaeal, and viral genomes derived from pure cultures or metagenomes. DRAM goes beyond traditional annotation tools by distilling multiple gene annotations to genome level summaries of functional potential. Despite these benefits, a downside of DRAM is the requirement of large computational resources, which limits its accessibility. Further, it did not integrate with downstream metabolic modeling tools that require genome annotation. To alleviate these constraints, DRAM and the viral counterpart, DRAM-v, are now available and integrated with the freely accessible KBase cyberinfrastructure. With kb_DRAM users can generate DRAM annotations and functional summaries from microbial or viral genomes in a point-and-click interface, as well as generate genome-scale metabolic models from DRAM annotations. AVAILABILITY AND IMPLEMENTATION: For kb_DRAM users, the kb_DRAM apps on KBase can be found in the catalog at https://narrative.kbase.us/#catalog/modules/kb_DRAM. For kb_DRAM users, a tutorial workflow with all documentation is available at https://narrative.kbase.us/narrative/129480. For kb_DRAM developers, software is available at https://github.com/shafferm/kb_DRAM. Oxford University Press 2023-03-01 /pmc/articles/PMC10068739/ /pubmed/36857575 http://dx.doi.org/10.1093/bioinformatics/btad110 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Shaffer, Michael
Borton, Mikayla A
Bolduc, Ben
Faria, José P
Flynn, Rory M
Ghadermazi, Parsa
Edirisinghe, Janaka N
Wood-Charlson, Elisha M
Miller, Christopher S
Chan, Siu Hung Joshua
Sullivan, Matthew B
Henry, Christopher S
Wrighton, Kelly C
kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase
title kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase
title_full kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase
title_fullStr kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase
title_full_unstemmed kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase
title_short kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase
title_sort kb_dram: annotation and metabolic profiling of genomes with dram in kbase
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068739/
https://www.ncbi.nlm.nih.gov/pubmed/36857575
http://dx.doi.org/10.1093/bioinformatics/btad110
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