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LAPIS is a fast web API for massive open virus sequencing data.
Chen, Chaoran; Taepper, Alexander; Engelniederhammer, Fabian; Kellerer, Jonas; Roemer, Cornelius; Stadler, Tanja.
Affiliation
  • Chen C; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland. chaoran.chen@bsse.ethz.ch.
  • Taepper A; Swiss Institute of Bioinformatics, Basel, Switzerland. chaoran.chen@bsse.ethz.ch.
  • Engelniederhammer F; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
  • Kellerer J; School of Computation, Information and Technology - Informatics, TU Munich, Munich, Germany.
  • Roemer C; TNG Technology Consulting GmbH, Unterföhring, Germany.
  • Stadler T; TNG Technology Consulting GmbH, Unterföhring, Germany.
BMC Bioinformatics ; 24(1): 232, 2023 Jun 05.
Article in En | MEDLINE | ID: mdl-37277732
BACKGROUND: Recent epidemic outbreaks such as the SARS-CoV-2 pandemic and the mpox outbreak in 2022 have demonstrated the value of genomic sequencing data for tracking the origin and spread of pathogens. Laboratories around the globe generated new sequences at unprecedented speed and volume and bioinformaticians developed new tools and dashboards to analyze this wealth of data. However, a major challenge that remains is the lack of simple and efficient approaches for accessing and processing sequencing data. RESULTS: The Lightweight API for Sequences (LAPIS) facilitates rapid retrieval and analysis of genomic sequencing data through a REST API. It supports complex mutation- and metadata-based queries and can perform aggregation operations on massive datasets. LAPIS is optimized for typical questions relevant to genomic epidemiology. Using a newly-developed in-memory database engine, it has a high speed and throughput: between 25 January and 4 February 2023, the SARS-CoV-2 instance of LAPIS, which contains 14.5 million sequences, processed over 20 million requests with a mean response time of 411 ms and a median response time of 1 ms. LAPIS is the core engine behind our dashboards on genspectrum.org and we currently maintain public LAPIS instances for SARS-CoV-2 and mpox. CONCLUSIONS: Powered by an optimized database engine and available through a web API, LAPIS enhances the accessibility of genomic sequencing data. It is designed to serve as a common backend for dashboards and analyses with the potential to be integrated into common database platforms such as GenBank.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mpox (monkeypox) / COVID-19 Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: Switzerland Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mpox (monkeypox) / COVID-19 Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: Switzerland Country of publication: United kingdom