Article In: dblp, scopus, orcid

phyloDB: A framework for large-scale phylogenetic analysis of sequence based typing data

SoftwareX

Lourenço, Bruno; Vaz, Cátia; Autor correspondente: Vaz, Cátia. — 2024 — Elsevier B.V.

Key information

Authors:

Lourenço, Bruno (Bruno Miguel Leandro Lourenço); Vaz, Cátia (Cátia Raquel Jesus Vaz); Miguel E. Coimbra (Miguel E. Coimbra); Francisco, Alexandre P. (A P Francisco); Autor correspondente: Vaz, Cátia.

Published in

February 22, 2024

Abstract

PHYLODB is a modular and extensible framework for large-scale phylogenetic analyses of sequence based typing data, which are essential for understanding epidemics evolution. It relies on the Neo4j graph database for data storage and processing, providing a schema and an API for representing and querying phylogenetic data. Custom algorithms are also supported, allowing users to perform heavy computations directly over the data, and to store results in the database. Multiple computation results are stored as multilayer networks, promoting and facilitating comparative analyses, as well as avoiding unnecessary ab initio computations. The experimental evaluation results showcase that PHYLODB is efficient and scalable with respect to both API operations and algorithms execution.

Publication details

Authors in the community:

Publication version

VoR - Version of Record

Publisher

Elsevier B.V.

Link to the publisher's version

https://www.sciencedirect.com/science/article/pii/S2352711024000396?via%3Dihub

Title of the publication container

SoftwareX

First page or article number

101668

Last page

101668

Volume

26

ISSN

2352-7110

WoS (Web of Science)

WOS:001196911600001

Fields of Science and Technology (FOS)

computer-and-information-sciences - Computer and information sciences

Keywords

  • Large scale phylogenetic analysis
  • Phylogenetic inference
  • Graph database

Publication language (ISO code)

eng - English

Rights type:

Open access

Creative Commons license

CC-BY-NC - Attribution-NonCommercial

Financing entity

OLISSIPO Project

Title of the project, award or grant: OLISSIPO – Fostering Computational Biology Research and Innovation in Lisbon

Visit project

Funding Stream: Horizon 2020 research and innovation programme – Twinning / Widening participation (H2020-WIDESPREAD)

Identifier for the funding entity: https://doi.org/10.13039/501100000780

Type of identifier of the funding entity: Crossref Funder

Number for the project, award or grant: 951970

Financing entity

Fundação para a Ciência e a Tecnologia

Title of the project, award or grant: INESC-ID R&D Unit – Base Funding (UIDB/50021/2020)

Visit project

Funding Stream: FCT R&D Units Multi-annual Funding programme

Identifier for the funding entity: https://doi.org/10.13039/501100001871

Type of identifier of the funding entity: Crossref Funder

Number for the project, award or grant: UIDB/50021/2020