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1.
Sci Data ; 10(1): 151, 2023 03 21.
Artigo em Inglês | MEDLINE | ID: mdl-36944655

RESUMO

The OSU/PNNL Superfund Research Program (SRP) represents a longstanding collaboration to quantify Polycyclic Aromatic Hydrocarbons (PAHs) at various superfund sites in the Pacific Northwest and assess their potential impact on human health. To link the chemical measurements to biological activity, we describe the use of the zebrafish as a high-throughput developmental toxicity model that provides quantitative measurements of the exposure to chemicals. Toward this end, we have linked over 150 PAHs found at Superfund sites to the effect of these same chemicals in zebrafish, creating a rich dataset that links environmental exposure to biological response. To quantify this response, we have implemented a dose-response modelling pipeline to calculate benchmark dose parameters which enable potency comparison across over 500 chemicals and 12 of the phenotypes measured in zebrafish. We provide a rich dataset for download and analysis as well as a web portal that provides public access to this dataset via an interactive web site designed to support exploration and re-use of these data by the scientific community at http://srp.pnnl.gov .


Assuntos
Exposição Ambiental , Hidrocarbonetos Policíclicos Aromáticos , Peixe-Zebra , Animais , Humanos , Exposição Ambiental/análise , Substâncias Perigosas/análise , Noroeste dos Estados Unidos , Hidrocarbonetos Policíclicos Aromáticos/toxicidade , Hidrocarbonetos Policíclicos Aromáticos/análise
2.
J Med Internet Res ; 23(7): e26995, 2021 07 16.
Artigo em Inglês | MEDLINE | ID: mdl-34138726

RESUMO

BACKGROUND: Papers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fashion. OBJECTIVE: We present a new online software resource with a friendly user interface that allows users to query and interact with visual representations of relationships between publications. METHODS: We publicly released an application called PLATIPUS (Publication Literature Analysis and Text Interaction Platform for User Studies) that allows researchers to interact with literature supplied by COVIDScholar via a visual analytics platform. This tool contains standard filtering capabilities based on authors, journals, high-level categories, and various research-specific details via natural language processing and dozens of customizable visualizations that dynamically update from a researcher's query. RESULTS: PLATIPUS is available online and currently links to over 100,000 publications and is still growing. This application has the potential to transform how COVID-19 researchers use public literature to enable their research. CONCLUSIONS: The PLATIPUS application provides the end user with a variety of ways to search, filter, and visualize over 100,00 COVID-19 publications.


Assuntos
COVID-19 , Interpretação de Imagem Assistida por Computador , Armazenamento e Recuperação da Informação , SARS-CoV-2 , Humanos , Processamento de Linguagem Natural , Software , Interface Usuário-Computador
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