MPMatt Pearce

Matt Pearce

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Matt Pearce has a total of 90 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    The Network of National COVID-19 Data Portals: public health equity through collaboration

    by Marianna Ventouratou, Liane Hughes, Katarina Öjefors Stark, Johan Rung, Natalia Koralewska, Marzena Ciechomska, Krzysztof Kurowski, Cezary Mazurek, Eva Alloza, Alberto Hornos-Vidal, et al.

    The network of the national COVID-19 Data Portals was developed and linked to the COVID-19 Data Portal (https://www.covid19dataportal.org/)inresponsetothe need for rapid data sharing and analysis during the 2020–2022 SARS-CoV-2 pandemic. Built on open-source code developed by the Swedish COVID-19 Data Portal (now the Swedish Pathogens Portal, www.pathogens.se) the network included 12 national portals addressing demand for local open data sharing and access, across data types and resources. It provides a robust case study of national initiatives for FAIR (Findable, Accessible, Interoperable and Reusable) resources and a foundation for future pandemic preparedness across pathogens globally. In this paper we outline the structure of the origins of the network of National COVID-19 Datal Portals, the technical aspects and code originating from the Swedish Portal and provide an overview of the services and tools offered by each Portal. The paper showcases the process and operation of four Portals: Sweden, Poland, Spain, Norway and The Netherlands. In this study, we observe that pandemic response greatly benefits from an established infrastructure that can be quickly mobilised, developed and extended. Collaborations and preparation built on solid foundations over several years, supported by investment in the form of national and international research grants, is key for sustainability, continuation and readiness to deploy such efforts.

  • Open Access

    DOME Copilot: Making transparency and reproducibility for artificial intelligence methods simple

    by Gavin Farrell, Omar Abdelghani Attafi, Styliani-Christina Fragkouli, Ignacio Heredia, Saul Fernández Tobías, Melissa Harrison, Henning Hermjakob, Matt Jeffryes, Marta Obregón Ruiz, Matt Pearce, et al.

    Unprecedented breakthroughs are being made in life science research through the application of artificial intelligence (AI). However, adherence to method reporting guidelines is necessary to support their reusability and reproducibility. The DOME Copilot solution extracts structured reports of AI methods using a large language model to help interpret manuscripts. It is a fast and efficient resource capable of scaling to annotate the corpus of global AI literature, unlocking value and trust in published methods.

  • Open Access

    Expression Atlas in 2026: enabling FAIR and open expression data through community collaboration and integration

    by Pedro Madrigal, Anil S Thanki, Silvie Fexova, Iris D Yu, Arsenios Chatzigeorgiou, Ida Zucchi, Jose C Marugan Calles, Liora Vilmovsky, Amnon Khen, Lingyun Zhao, et al.

    Expression Atlas (https://www.ebi.ac.uk/gxa/home) is EMBL-EBI’s comprehensive knowledgebase for gene and protein expression across tissues, cell types, conditions, and multiple species. Since our last update, Expression Atlas has expanded substantially in both content and functionality, now comprising >4500 studies from 67 species, with increased proteomics coverage and updated Genotype-Tissue Expression (GTEx) tissue profiles. The resource also includes hundreds of single-cell RNA-seq experiments spanning 21 species, among them externally analysed community datasets such as Tabula Sapiens and GTEx single-nucleus profiles, allowing exploration of curated atlases while maintaining their original analytical framework. Key methodological advances include a new marker gene analysis module for bulk baseline experiments, alongside workflow updates that improve reproducibility. Expression Atlas data are integrated into EMBL-EBI resources such as Ensembl, UniProt, and Europe PMC and disseminated through collaboration with model organism communities such as FlyBase and Gramene. The resource also supports translational research through the European Diagnostic Transcriptomic Library and integration with the Open Targets platform. Future directions include modernizing analysis pipelines, enhancing programmatic access, and delivering AI-ready data formats, strengthening Expression Atlas as a findable, accessible, interoperable, and reusable (FAIR) community-driven resource for both fundamental and translational discovery.


  • Open Access

    The Network of National COVID-19 Data Portals: public health equity through collaboration

    by Marianna Ventouratou, Liane Hughes, Katarina Öjefors Stark, Johan Rung, Natalia Koralewska, Marzena Ciechomska, Krzysztof Kurowski, Cezary Mazurek, Eva Alloza, Alberto Hornos-Vidal, et al.

    The network of the national COVID-19 Data Portals was developed and linked to the COVID-19 Data Portal ( https://www.covid19dataportal.org/) in response to the need for rapid data sharing and analysis during the 2020-2022 SARS-CoV-2 pandemic. Built on open-source code developed by the Swedish COVID-19 Data Portal (now the Swedish Pathogens Portal, www.pathogens.se) the network included 12 national portals addressing demand for local open data sharing and access, across data types and resources. It provides a robust case study of national initiatives for FAIR (Findable, Accessible, Interoperable and Reusable) resources and a foundation for future pandemic preparedness across pathogens globally. In this paper we outline the structure of the origins of the network of National COVID-19 Datal Portals, the technical aspects and code originating from the Swedish Portal and provide an overview of the services and tools offered by each Portal. The paper showcases the process and operation of four Portals: Sweden, Poland, Spain, Norway and The Netherlands. It considers useful lessons and approaches for future pandemic preparedness which enable researchers to easily identify and obtain the key data from resources on a national and international level.

  • Open Access

    EBI Search: providing discovery tools for biological metadata in 2025

    by Matthew Pearce, Prasad Basutkar, Renato Caminha Juaçaba Neto, Vijay Venkatesh Subramoniam, Kelsey Neis, Iva Tutis, Henning Hermjakob

    The data resources provided by the European Bioinformatics Institute (EMBL-EBI) cover major areas of biological and biomedical research, giving free and open access to users ranging from expert to casual level. The EBI Search engine provides a unified metadata search engine across these resources. It provides a full-text search engine across over 6.5 billion data items, accessed through a user-friendly website and an OpenAPI-compliant programmatic interface. Here, we discuss recent developments and improvements in the service.


  • Top Cited Papers
    Open Access

    Search and sequence analysis tools services from EMBL-EBI in 2022

    by Fábio Madeira, Matt Pearce, Adrian R N Tivey, Prasad Basutkar, Joon Lee, Ossama Edbali, Nandana Madhusoodanan, Anton Kolesnikov, Rodrigo Lopez

    The EMBL-EBI search and sequence analysis tools frameworks provide integrated access to EMBL-EBI’s data resources and core bioinformatics analytical tools. EBI Search (https://www.ebi.ac.uk/ebisearch) provides a full-text search engine across nearly 5 billion entries, while the Job Dispatcher tools framework (https://www.ebi.ac.uk/services) enables the scientific community to perform a diverse range of sequence analysis using popular bioinformatics applications. Both allow users to interact through user-friendly web applications, as well as via RESTful and SOAP-based APIs. Here, we describe recent improvements to these services and updates made to accommodate the increasing data requirements during the COVID-19 pandemic.