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ResiDB: An automated database manager for sequence data

The amount of publicly available DNA sequence data is drastically increasing, making it a tedious task to create sequence databases necessary for the design of diagnostic assays. The selection of appropriate sequences is especially challenging in genes affected by frequent point mutations such as an...

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Detalles Bibliográficos
Autores principales: Hendling, Michaela, Conzemius, Rick, Barišić, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816582/
https://www.ncbi.nlm.nih.gov/pubmed/33495705
http://dx.doi.org/10.1016/j.csbj.2021.01.024
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author Hendling, Michaela
Conzemius, Rick
Barišić, Ivan
author_facet Hendling, Michaela
Conzemius, Rick
Barišić, Ivan
author_sort Hendling, Michaela
collection PubMed
description The amount of publicly available DNA sequence data is drastically increasing, making it a tedious task to create sequence databases necessary for the design of diagnostic assays. The selection of appropriate sequences is especially challenging in genes affected by frequent point mutations such as antibiotic resistance genes. To overcome this issue, we have designed the webtool resiDB, a rapid and user-friendly sequence database manager for bacteria, fungi, viruses, protozoa, invertebrates, plants, archaea, environmental and whole genome shotgun sequence data. It automatically identifies and curates sequence clusters to create custom sequence databases based on user-defined input sequences. A collection of helpful visualization tools gives the user the opportunity to easily access, evaluate, edit, and download the newly created database. Consequently, researchers do no longer have to manually manage sequence data retrieval, deal with hardware limitations, and run multiple independent software tools, each having its own requirements, input and output formats. Our tool was developed within the H2020 project FAPIC aiming to develop a single diagnostic assay targeting all sepsis-relevant pathogens and antibiotic resistance mechanisms. ResiDB is freely accessible to all users through https://residb.ait.ac.at/.
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spelling pubmed-78165822021-01-21 ResiDB: An automated database manager for sequence data Hendling, Michaela Conzemius, Rick Barišić, Ivan Comput Struct Biotechnol J Research Article The amount of publicly available DNA sequence data is drastically increasing, making it a tedious task to create sequence databases necessary for the design of diagnostic assays. The selection of appropriate sequences is especially challenging in genes affected by frequent point mutations such as antibiotic resistance genes. To overcome this issue, we have designed the webtool resiDB, a rapid and user-friendly sequence database manager for bacteria, fungi, viruses, protozoa, invertebrates, plants, archaea, environmental and whole genome shotgun sequence data. It automatically identifies and curates sequence clusters to create custom sequence databases based on user-defined input sequences. A collection of helpful visualization tools gives the user the opportunity to easily access, evaluate, edit, and download the newly created database. Consequently, researchers do no longer have to manually manage sequence data retrieval, deal with hardware limitations, and run multiple independent software tools, each having its own requirements, input and output formats. Our tool was developed within the H2020 project FAPIC aiming to develop a single diagnostic assay targeting all sepsis-relevant pathogens and antibiotic resistance mechanisms. ResiDB is freely accessible to all users through https://residb.ait.ac.at/. Research Network of Computational and Structural Biotechnology 2021-01-19 /pmc/articles/PMC7816582/ /pubmed/33495705 http://dx.doi.org/10.1016/j.csbj.2021.01.024 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Hendling, Michaela
Conzemius, Rick
Barišić, Ivan
ResiDB: An automated database manager for sequence data
title ResiDB: An automated database manager for sequence data
title_full ResiDB: An automated database manager for sequence data
title_fullStr ResiDB: An automated database manager for sequence data
title_full_unstemmed ResiDB: An automated database manager for sequence data
title_short ResiDB: An automated database manager for sequence data
title_sort residb: an automated database manager for sequence data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816582/
https://www.ncbi.nlm.nih.gov/pubmed/33495705
http://dx.doi.org/10.1016/j.csbj.2021.01.024
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