RESUMO
Human genetic variants can influence the severity of symptoms being infected with SARS-COV-2. Several genome-wide association studies have identified human genomic risk SNPs associated with COVID-19 severity. However, the causal tissues or cell types of COVID-19 severity are uncertain and candidate genes associated with these human risk SNPs were investigated in genomic proximity instead of their functional cellular contexts. Here, we compiled regulatory networks of 77 human contexts and revealed those risk SNPs enriched cellular contexts and associated transcript factors, regulatory elements, and target genes. Twenty-one human contexts were identified and grouped into two categories: immune cells and epithelium cells. We further aggregated the regulatory networks of immune cells, epithelium cells, and immune-epithelium crosstalk and investigated their association with risk SNPs regulation. Two genomic clusters, chemokine receptors cluster and OAS cluster, showed the strongest association with COVID-19 severity and different regulations in immune and epithelium contexts. Our findings were supported by analysis on both microarray and whole genome sequencing based GWAS summary statistics.
RESUMO
Objective To analyze the use of the semantic type of the top-level ontology of military medicine in order to find problems with the semantic type framework and make it more scientific and comprehensive.Methods Using data driven method, the frequency with which the semantic type of the top-level ontology of military medicine was used in military medical core concepts was statistically analyzed.Results By ranking the use frequency of the semantic types, the semantic types which had higher or lower frequency, and those that had never been used were analyzed.Conclusion The established semantic type framework of the top-level ontology of military medicine is basically consistent with the expression of military medical knowledge and can be constantly updated and improved with the development of military medicine.
RESUMO
In order to have a better understanding of the role of medical library in medical information service during the implementation of Healthy China strategy,the need of health information service of the public and medical scientific researchers in implementation of Healthy China strategy were analyzed by outlining the development history and major targets of Healthy China strategy,and how to meet the requirements of the development of Healthy China for medical library was studies,namely by improving its resources development,service patterns and staff construction according to the present situation of big data development,the challenges medical library is faced in users needs,resources,platform,space,professionals and funds,and the opportunities brought about by the expanding requirements,improving information academic level,advancing new technologies,favorable policies and environments with relevant suggestions put forward.
RESUMO
A core metadata system of maintenance support information in IETM of military medical equipments was constructed according to the characteristics of maintenance support information in IETM of military medical equipments,DC metadata and S1000D specifications,which can retrieve,manage and use the maintenance support information in IETM of military medical equipments and share the data in heterogeneous systems,thus laying a foundation for establishing the IETM of military medical equipments.
RESUMO
An information service platform was constructed for infectious disease epidemic by standard collecting, organizing and systematizing the information of related infectious diseases, which could provide information support service for data store, knowledge share, online education and decision-making. The platform is consisted of special news module, self-developed database module, encyclopedic knowledge module and background management module, and can thus meet the needs of related persons in countries and regions along the One Belt and One Road.
RESUMO
Objective To explore the construction method of semantic types of military medical ontology and to establish a framework for the semantic types of the top-level ontology of military medicine in order to lay the foundation for the construction of military medical ontology and provide support for knowledge organization, knowledge disclosure and knowledge service of military medical information resources.Methods Using the method of document measurement, the core concept set of military medicine was constructed.On the basis of the framework of the top-level semantic types of Unified Medical Language System(UMLS), the semantic type framework was completed by the combination of bottom-up and top-down modes, using semantic analysis and expert consultation.Results By classifying the same kind of knowledge points of military medicine into one semantic type, the hierarchical structure of the semantic type framework of the top-level ontology of military medicine was obtained.Conclusion The proposed method is effective and practical for the construction of the semantic types of military medical ontology.The established semantic type framework of the top-level ontology of military medicine could reconstruct military medical knowledge and provide the basic framework for the establishment of the semantic relationships of the top-level ontology of military medicine.
RESUMO
The paper analyzes the current status and existing problems of citation retrieval work, puts forward the design principle, overall structure and function of cited references integration tools, demonstrates the key technologies of system realization.An integrated retrieval platform for online literature citations is constructed for the following functions:one-stop retrieval of various citation databases, automatic removal of duplications, so as to reduce the burden of staffs and improve efficiency effectively.
RESUMO
After a description of the concept and meaning of big data, the application of big data in biomedical field was investigated, the changes in medical library functions were analyzed, the challenges to medical libraries were pointed in terms of their data, hardware infrastructures, software technologies, talents and service modes, and how to respond to the big data in medical libraries was proposed from the aspects of strengthening the external collabo-ration, co-developing cloud computing center, intensifying the construction of related organizations and talents, and changing the service modes.
RESUMO
After an overall introduction of the novel functions of the CMCI institutional knowledge version developed by Medical Library of Chinese PLA , its coverage of institutions, authors, funds, journals and literature was de-scribed in terms of RDE semantics.The contents in literature were mined and analyzed in depth based on the litera-ture-marked information with the institutions database, funds database, journals database and literature database as their cores, the association of information resources in biomedical field was thus realized.The CMCI institutional knowledge version can be used to search published papers and citations, write citation reports, enforce bibliometric visualization analysis, issue different top-ranked statistical data, push associated information, increase institutional literature management modules, and provide personal literature management and assessment service for different in-stitutions.
RESUMO
An integrated retrieval platform for online biomedical literature citations with the functions of one-stop retrieval, automatic removal of duplications, automatic grouping, and rapid output of standard citation report, was constructed on the basis of CMCI, with the C/S structure as its model and the NET framework as its development platform, in order to solve the problems of different citation databases in our library, such as inconsistent retrieval methods, inconsistent displaying methods of retrieval outcomes, and non-standard citation description, which can thus improve the efficiency of searching and citing biomedical literature.
RESUMO
After a description of the performance assessment systems in domestic and foreign libraries, the personal performance assessment system was designed according to the annual target and key performance indicators worked out for the Database R&D Section in Medical Library of Chinese PLA and its problems existed at present.Imple-mentation of the system showed that it could arouse the enthusiasm of staff, increase the number of products, im-prove the quality of products , and guarantee the realization of annual target in our section .
RESUMO
The data production and management processes were described and the factors influencing the data pro-cessing quality were analyzed with CMCC/CMCI as an example, and measures were put forward for improving the data production and management-the key to database development.
