An innovative user-friendly platform for Covid-19 pandemic databases and resources

Computer Methods and Programs in Biomedicine Update

Anees Ullah¹  Wajeeha Rahman²  Muhammad Ijaz³  Farhan Ullah⁴  Tianshun Gao⁵  Shahid Ullah⁵  Sher Bahadar Khan⁵  Gulzar Ahmad⁵ 

[1] Corresponding author at: S Khan Lab, Mardan, KPK, Pakistan, PhD From Huazhong University of Science and technology, Wuhan, China. Postdoctoral. Chinese academy of Science &Shenzhen University Institute of Low-dimensional Materials Genome Initiative, College of Chemistry and Environmental Engineering, Shenzhen, Guangdong 518060, P. R. China;Department of Animal Health, The University of Agriculture, Peshawar, Pakistan;Kyrgyz State Medical Academy (KSMA), Kyrgyzstan;S Khan Lab Mardan, Khyber Pakhtunkhwa, Pakistan;

关键词: CO-19 PDB;    COVID-19;    Digital image;    Genomic;    Chemical structure;   

DOI  :  

来源: DOAJ

【 摘 要 】

Background: The current coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global outbreak of a disease from a new coronavirus. Several databases have been published on this pandemic, but the research community still needs an easy way to get comprehensive information on COVID-19. Objectives: COVID-19 pandemic database (CO-19 PDB) aims to provide wonderful insights for COVID-19 researchers with the well-gathered of all the COVID-19 data to one platform, which is a global challenge for the research community these days. Methods: We gathered 59 updated databases since December-2019 until May 2021 and divided them into six categories: digital image database, genomic database, literature database, visualization tools database, chemical structure database, and social science database. These categories focus on taking number of functions from the images, information from gene sequences, updates from relevant papers, essays, reports, articles, and books, the data or information in the form of maps, graphs, and charts, information of bonds between atoms, and updates about events of the physical and social environment, respectively. Results: Users can search the information of interest in two ways including typing the name of the database in the search bar or by clicking the right category directly. Computer languages such as CSS, PHP, HTML, Java, etc. are utilized to construct CO-19 PDB. Conclusion: This article attempts to compile up-to-date appropriate COVID-19 datasets and resources that have not been compiled and given in such an accessible and user-friendly manner. As a result, the CO-19 PDB offers extensive open data sharing for both worldwide research communities and local people. Further, we have planned future development of new features, that will be awesome for future study.

【 授权许可】

Unknown