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Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation

In the modern genomic era, scientists without extensive bioinformatic training need to apply high-power computational analyses to critical tasks like phage genome annotation. At the Center for Phage Technology (CPT), we developed a suite of phage-oriented tools housed in open, user-friendly web-base...

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Autores principales: Ramsey, Jolene, Rasche, Helena, Maughmer, Cory, Criscione, Anthony, Mijalis, Eleni, Liu, Mei, Hu, James C., Young, Ry, Gill, Jason J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660901/
https://www.ncbi.nlm.nih.gov/pubmed/33137082
http://dx.doi.org/10.1371/journal.pcbi.1008214
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author Ramsey, Jolene
Rasche, Helena
Maughmer, Cory
Criscione, Anthony
Mijalis, Eleni
Liu, Mei
Hu, James C.
Young, Ry
Gill, Jason J.
author_facet Ramsey, Jolene
Rasche, Helena
Maughmer, Cory
Criscione, Anthony
Mijalis, Eleni
Liu, Mei
Hu, James C.
Young, Ry
Gill, Jason J.
author_sort Ramsey, Jolene
collection PubMed
description In the modern genomic era, scientists without extensive bioinformatic training need to apply high-power computational analyses to critical tasks like phage genome annotation. At the Center for Phage Technology (CPT), we developed a suite of phage-oriented tools housed in open, user-friendly web-based interfaces. A Galaxy platform conducts computationally intensive analyses and Apollo, a collaborative genome annotation editor, visualizes the results of these analyses. The collection includes open source applications such as the BLAST+ suite, InterProScan, and several gene callers, as well as unique tools developed at the CPT that allow maximum user flexibility. We describe in detail programs for finding Shine-Dalgarno sequences, resources used for confident identification of lysis genes such as spanins, and methods used for identifying interrupted genes that contain frameshifts or introns. At the CPT, genome annotation is separated into two robust segments that are facilitated through the automated execution of many tools chained together in an operation called a workflow. First, the structural annotation workflow results in gene and other feature calls. This is followed by a functional annotation workflow that combines sequence comparisons and conserved domain searching, which is contextualized to allow integrated evidence assessment in functional prediction. Finally, we describe a workflow used for comparative genomics. Using this multi-purpose platform enables researchers to easily and accurately annotate an entire phage genome. The portal can be accessed at https://cpt.tamu.edu/galaxy-pub with accompanying user training material.
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spelling pubmed-76609012020-11-18 Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation Ramsey, Jolene Rasche, Helena Maughmer, Cory Criscione, Anthony Mijalis, Eleni Liu, Mei Hu, James C. Young, Ry Gill, Jason J. PLoS Comput Biol Research Article In the modern genomic era, scientists without extensive bioinformatic training need to apply high-power computational analyses to critical tasks like phage genome annotation. At the Center for Phage Technology (CPT), we developed a suite of phage-oriented tools housed in open, user-friendly web-based interfaces. A Galaxy platform conducts computationally intensive analyses and Apollo, a collaborative genome annotation editor, visualizes the results of these analyses. The collection includes open source applications such as the BLAST+ suite, InterProScan, and several gene callers, as well as unique tools developed at the CPT that allow maximum user flexibility. We describe in detail programs for finding Shine-Dalgarno sequences, resources used for confident identification of lysis genes such as spanins, and methods used for identifying interrupted genes that contain frameshifts or introns. At the CPT, genome annotation is separated into two robust segments that are facilitated through the automated execution of many tools chained together in an operation called a workflow. First, the structural annotation workflow results in gene and other feature calls. This is followed by a functional annotation workflow that combines sequence comparisons and conserved domain searching, which is contextualized to allow integrated evidence assessment in functional prediction. Finally, we describe a workflow used for comparative genomics. Using this multi-purpose platform enables researchers to easily and accurately annotate an entire phage genome. The portal can be accessed at https://cpt.tamu.edu/galaxy-pub with accompanying user training material. Public Library of Science 2020-11-02 /pmc/articles/PMC7660901/ /pubmed/33137082 http://dx.doi.org/10.1371/journal.pcbi.1008214 Text en © 2020 Ramsey et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ramsey, Jolene
Rasche, Helena
Maughmer, Cory
Criscione, Anthony
Mijalis, Eleni
Liu, Mei
Hu, James C.
Young, Ry
Gill, Jason J.
Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation
title Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation
title_full Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation
title_fullStr Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation
title_full_unstemmed Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation
title_short Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation
title_sort galaxy and apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660901/
https://www.ncbi.nlm.nih.gov/pubmed/33137082
http://dx.doi.org/10.1371/journal.pcbi.1008214
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