MDACP: A Pathogen Genome and Metagenome Analysis Cloud Platform

Han, Na and Miao, Jiaojiao and Zhang, Tingting and Qiang, Yujun and Peng, Xianhui and Li, Xiuwen and Zhang, Wen (2020) MDACP: A Pathogen Genome and Metagenome Analysis Cloud Platform. Frontiers in Genetics, 11. ISSN 1664-8021

[thumbnail of pubmed-zip/versions/1/package-entries/fgene-11-01007/fgene-11-01007.pdf] Text
pubmed-zip/versions/1/package-entries/fgene-11-01007/fgene-11-01007.pdf - Published Version

Download (392kB)

Abstract

Pathogenic microorganism analysis based on next-generation sequencing technology is an important tool for clinical diagnosis, public health surveillance, and outbreak investigation. However, scientific researchers without the relevant background lack the time, training, or infrastructure to use large data sets or install and use command line tools. Therefore, the bioinformatic team at the Chinese Center for Disease Control and Prevention developed the Microbial Data Analysis Cloud Platform (MDACP) as a safe, professional, and efficient pathogen genetic data analysis platform for rapid microbial data mining, such as for candidate pathogen detection, genome typing, and traceability. MDACP is a web service system based on the Docker platform and can be used for data analysis on various operating systems. The platform focuses on pathogen analysis and continuously develops new analysis processes according to the analysis needs of the users. This platform has a friendly user interface and is easy to operate, allowing users to submit data through data pages or graphical clients, flexibly control parameters according to data conditions, and analyze data in parallel with multiple tasks. Researchers can quickly carry out bioinformatic analyses without coding work, promote follow-up research and information mining of projects, and improve the utilization of big data in the field of disease control. MDACP enables research personnel to conduct data analysis and management and assists clinicians and disease control personnel with mining information, such as pathogen identification, classification, and traceability.

Item Type: Article
Subjects: OA STM Library > Medical Science
Depositing User: Unnamed user with email support@oastmlibrary.com
Date Deposited: 21 Feb 2023 09:32
Last Modified: 09 Jul 2024 07:37
URI: http://geographical.openscholararchive.com/id/eprint/188

Actions (login required)

View Item
View Item