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1.
Nucleic Acids Res ; 52(D1): D1668-D1676, 2024 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-37994696

RESUMO

Europe PMC (https://europepmc.org/) is an open access database of life science journal articles and preprints, which contains over 42 million abstracts and over 9 million full text articles accessible via the website, APIs and bulk download. This publication outlines new developments to the Europe PMC platform since the last database update in 2020 (1) and focuses on five main areas. (i) Improving discoverability, reproducibility and trust in preprints by indexing new preprint content, enriching preprint metadata and identifying withdrawn and removed preprints. (ii) Enhancing support for text and data mining by expanding the types of annotations provided and developing the Europe PMC Annotations Corpus, which can be used to train machine learning models to increase their accuracy and precision. (iii) Developing the Article Status Monitor tool and email alerts, to notify users about new articles and updates to existing records. (iv) Positioning Europe PMC as an open scholarly infrastructure through increasing the portion of open source core software, improving sustainability and accessibility of the service.


Assuntos
Disciplinas das Ciências Biológicas , Bases de Dados Bibliográficas , Mineração de Dados , Europa (Continente) , Software , Bases de Dados Bibliográficas/normas , Internet
2.
Gigascience ; 112022 08 11.
Artigo em Inglês | MEDLINE | ID: mdl-35950838

RESUMO

Metagenomics is a culture-independent method for studying the microbes inhabiting a particular environment. Comparing the composition of samples (functionally/taxonomically), either from a longitudinal study or cross-sectional studies, can provide clues into how the microbiota has adapted to the environment. However, a recurring challenge, especially when comparing results between independent studies, is that key metadata about the sample and molecular methods used to extract and sequence the genetic material are often missing from sequence records, making it difficult to account for confounding factors. Nevertheless, these missing metadata may be found in the narrative of publications describing the research. Here, we describe a machine learning framework that automatically extracts essential metadata for a wide range of metagenomics studies from the literature contained in Europe PMC. This framework has enabled the extraction of metadata from 114,099 publications in Europe PMC, including 19,900 publications describing metagenomics studies in European Nucleotide Archive (ENA) and MGnify. Using this framework, a new metagenomics annotations pipeline was developed and integrated into Europe PMC to regularly enrich up-to-date ENA and MGnify metagenomics studies with metadata extracted from research articles. These metadata are now available for researchers to explore and retrieve in the MGnify and Europe PMC websites, as well as Europe PMC annotations API.


Assuntos
Metadados , Metagenômica , Acesso à Informação , Estudos Transversais , Estudos Longitudinais , Aprendizado de Máquina , Metagenômica/métodos
3.
Nucleic Acids Res ; 49(D1): D1507-D1514, 2021 01 08.
Artigo em Inglês | MEDLINE | ID: mdl-33180112

RESUMO

Europe PMC (https://europepmc.org) is a database of research articles, including peer reviewed full text articles and abstracts, and preprints - all freely available for use via website, APIs and bulk download. This article outlines new developments since 2017 where work has focussed on three key areas: (i) Europe PMC has added to its core content to include life science preprint abstracts and a special collection of full text of COVID-19-related preprints. Europe PMC is unique as an aggregator of biomedical preprints alongside peer-reviewed articles, with over 180 000 preprints available to search. (ii) Europe PMC has significantly expanded its links to content related to the publications, such as links to Unpaywall, providing wider access to full text, preprint peer-review platforms, all major curated data resources in the life sciences, and experimental protocols. The redesigned Europe PMC website features the PubMed abstract and corresponding PMC full text merged into one article page; there is more evident and user-friendly navigation within articles and to related content, plus a figure browse feature. (iii) The expanded annotations platform offers ∼1.3 billion text mined biological terms and concepts sourced from 10 providers and over 40 global data resources.


Assuntos
Disciplinas das Ciências Biológicas/estatística & dados numéricos , COVID-19/prevenção & controle , Curadoria de Dados/estatística & dados numéricos , Mineração de Dados/estatística & dados numéricos , Bases de Dados Factuais/estatística & dados numéricos , PubMed , SARS-CoV-2/isolamento & purificação , Disciplinas das Ciências Biológicas/métodos , Pesquisa Biomédica/métodos , Pesquisa Biomédica/estatística & dados numéricos , COVID-19/epidemiologia , COVID-19/virologia , Curadoria de Dados/métodos , Mineração de Dados/métodos , Epidemias , Europa (Continente) , Humanos , Internet , SARS-CoV-2/fisiologia
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