Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783638472578301952 |
---|---|
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/. |
format | Online Article Text |
id | pubmed-7816582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hendlingmichaela residbanautomateddatabasemanagerforsequencedata AT conzemiusrick residbanautomateddatabasemanagerforsequencedata AT barisicivan residbanautomateddatabasemanagerforsequencedata |