MedElevator Войти в исследования
← Поиск публикаций

DOI 10.3389/fgene.2022.981633

Медицинская библиотека · Frontiers in genetics · 2022

An integrated platform for Brucella with knowledge graph technology: From genomic analysis to epidemiological projection.

Ma Fubo, Xiao Ming, Zhu Lin, Jiang Wen, Jiang Jizhe, Zhang Peng-Fei, Li Kang, Yue Min, Zhang Le

СтатьяПеревод в очереди

Аннотация

Motivation: Brucella, the causative agent of brucellosis, is a global zoonotic pathogen that threatens both veterinary and human health. The main sources of brucellosis are farm animals. Importantly, the bacteria can be used for biological warfare purposes, requiring source tracking and routine surveillance in an integrated manner. Additionally, brucellosis is classified among group B infectious diseases in China and has been reported in 31 Chinese provinces to varying degrees in urban areas. From a national biosecurity perspective, research on brucellosis surveillance has garnered considerable attention and requires an integrated platform to provide researchers with easy access to genomic analysis and provide policymakers with an improved understanding of both reported patients and detected cases for the purpose of precision public health interventions.

Results

For the first time in China, we have developed a comprehensive information platform for Brucella based on dynamic visualization of the incidence (reported patients) and prevalence (detected cases) of brucellosis in mainland China. Especially, our study establishes a knowledge graph for the literature sources of Brucella data so that it can be expanded, queried, and analyzed. When similar "epidemiological comprehensive platforms" are established in the distant future, we can use knowledge graph to share its information. Additionally, we propose a software package for genomic sequence analysis. This platform provides a specialized, dynamic, and visual point-and-click interface for studying brucellosis in mainland China and improving the exploration of Brucella in the fields of bioinformatics and disease prevention for both human and veterinary medicine.

Для цитирования: Ma Fubo, Xiao Ming, Zhu Lin, Jiang Wen, Jiang Jizhe, Zhang Peng-Fei, Li Kang, Yue Min, Zhang Le. An integrated platform for Brucella with knowledge graph technology: From genomic analysis to epidemiological projection.. Frontiers in genetics. 2022. DOI: 10.3389/fgene.2022.981633.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.