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ASV portal: an interface to DNA-based biodiversity data in the Living Atlas.
Prager, Maria; Lundin, Daniel; Ronquist, Fredrik; Andersson, Anders F.
  • Prager M; Science for Life Laboratory, Department of Ecology, Environment and Plant Sciences, Stockholm University, 106 91, Stockholm, Sweden. maria.prager@scilifelab.se.
  • Lundin D; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77, Stockholm, Sweden. maria.prager@scilifelab.se.
  • Ronquist F; Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, 391 82, Kalmar, Sweden.
  • Andersson AF; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, P.O. Box 50007, 104 05, Stockholm, Sweden.
BMC Bioinformatics ; 24(1): 6, 2023 Jan 05.
Article en En | MEDLINE | ID: mdl-36604610
ABSTRACT

BACKGROUND:

The Living Atlas is an open source platform used to collect, visualise and analyse biodiversity data from multiple sources, and serves as the national biodiversity data hub in many countries. Although powerful, the Living Atlas has had limited functionality for species occurrence data derived from DNA sequences. As a step toward integrating this fast-growing data source into the platform, we developed the Amplicon Sequence Variant (ASV) portal a web interface to sequence-based biodiversity observations in the Living Atlas.

RESULTS:

The ASV portal allows data providers to submit denoised metabarcoding output to the Living Atlas platform via an intermediary ASV database. It also enables users to search for existing ASVs and associated Living Atlas records using the Basic Local Alignment Search Tool, or via filters on taxonomy and sequencing details. The ASV portal is a Python-Flask/jQuery web interface, implemented as a multi-container docker service, and is an integral part of the Swedish Biodiversity Data Infrastructure.

CONCLUSION:

The ASV portal is a web interface that effectively integrates biodiversity data derived from DNA sequences into the Living Atlas platform.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Biodiversidad Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Biodiversidad Idioma: En Año: 2023 Tipo del documento: Article