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medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata

MOTIVATION: Environmental DNA (eDNA), as a rapidly expanding research field, stands to benefit from shared resources including sampling protocols, study designs, discovered sequences, and taxonomic assignments to sequences. High-quality community shareable eDNA resources rely heavily on comprehensiv...

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Autores principales: Kimble, M, Allers, S, Campbell, K, Chen, C, Jackson, L M, King, B L, Silverbrand, S, York, G, Beard, K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524998/
https://www.ncbi.nlm.nih.gov/pubmed/35960154
http://dx.doi.org/10.1093/bioinformatics/btac556
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author Kimble, M
Allers, S
Campbell, K
Chen, C
Jackson, L M
King, B L
Silverbrand, S
York, G
Beard, K
author_facet Kimble, M
Allers, S
Campbell, K
Chen, C
Jackson, L M
King, B L
Silverbrand, S
York, G
Beard, K
author_sort Kimble, M
collection PubMed
description MOTIVATION: Environmental DNA (eDNA), as a rapidly expanding research field, stands to benefit from shared resources including sampling protocols, study designs, discovered sequences, and taxonomic assignments to sequences. High-quality community shareable eDNA resources rely heavily on comprehensive metadata documentation that captures the complex workflows covering field sampling, molecular biology lab work, and bioinformatic analyses. There are limited sources that provide documentation of database development on comprehensive metadata for eDNA and these workflows and no open-source software. RESULTS: We present medna-metadata, an open-source, modular system that aligns with Findable, Accessible, Interoperable, and Reusable guiding principles that support scholarly data reuse and the database and application development of a standardized metadata collection structure that encapsulates critical aspects of field data collection, wet lab processing, and bioinformatic analysis. Medna-metadata is showcased with metabarcoding data from the Gulf of Maine (Polinski et al., 2019). AVAILABILITY AND IMPLEMENTATION: The source code of the medna-metadata web application is hosted on GitHub (https://github.com/Maine-eDNA/medna-metadata). Medna-metadata is a docker-compose installable package. Documentation can be found at https://medna-metadata.readthedocs.io/en/latest/?badge=latest. The application is implemented in Python, PostgreSQL and PostGIS, RabbitMQ, and NGINX, with all major browsers supported. A demo can be found at https://demo.metadata.maine-edna.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-95249982022-10-03 medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata Kimble, M Allers, S Campbell, K Chen, C Jackson, L M King, B L Silverbrand, S York, G Beard, K Bioinformatics Original Papers MOTIVATION: Environmental DNA (eDNA), as a rapidly expanding research field, stands to benefit from shared resources including sampling protocols, study designs, discovered sequences, and taxonomic assignments to sequences. High-quality community shareable eDNA resources rely heavily on comprehensive metadata documentation that captures the complex workflows covering field sampling, molecular biology lab work, and bioinformatic analyses. There are limited sources that provide documentation of database development on comprehensive metadata for eDNA and these workflows and no open-source software. RESULTS: We present medna-metadata, an open-source, modular system that aligns with Findable, Accessible, Interoperable, and Reusable guiding principles that support scholarly data reuse and the database and application development of a standardized metadata collection structure that encapsulates critical aspects of field data collection, wet lab processing, and bioinformatic analysis. Medna-metadata is showcased with metabarcoding data from the Gulf of Maine (Polinski et al., 2019). AVAILABILITY AND IMPLEMENTATION: The source code of the medna-metadata web application is hosted on GitHub (https://github.com/Maine-eDNA/medna-metadata). Medna-metadata is a docker-compose installable package. Documentation can be found at https://medna-metadata.readthedocs.io/en/latest/?badge=latest. The application is implemented in Python, PostgreSQL and PostGIS, RabbitMQ, and NGINX, with all major browsers supported. A demo can be found at https://demo.metadata.maine-edna.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-08-12 /pmc/articles/PMC9524998/ /pubmed/35960154 http://dx.doi.org/10.1093/bioinformatics/btac556 Text en © The Author(s) 2022. 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 Original Papers
Kimble, M
Allers, S
Campbell, K
Chen, C
Jackson, L M
King, B L
Silverbrand, S
York, G
Beard, K
medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
title medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
title_full medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
title_fullStr medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
title_full_unstemmed medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
title_short medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
title_sort medna-metadata: an open-source data management system for tracking environmental dna samples and metadata
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524998/
https://www.ncbi.nlm.nih.gov/pubmed/35960154
http://dx.doi.org/10.1093/bioinformatics/btac556
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