Abstract: Next generation sequencing(NGS) has significantly promoted the development of metagenomics due to its low cost and ultra-high throughput.However,it has brought great challenges to researchers at the same time since processing large-scale and high-complexity sequencing data is a tough task.On the one hand,the analysis of large-scale sequencing data consumes too many resources such as hardware resources and the cost of time,etc.On the other hand,in the process of computational analysis,a large number of metagenomics computational analysis tools need to be deployed,debugged and maintained inevitably which are difficult for common users.For the above reasons,this paper compares the mainstream metagenomics computing platforms in the field and analyzes the main advantages and disadvantages of each platform comprehensively.Furthermore,a highly available and flexible metagenomics computing platform MWS-MGA(More than a Web Service for Metagenomic Analysis) focusing on meta-genomics computational analysis has been constructed which is combined with the current effective computing service technology.Meanwhile,not only multiple interactive access methods but also rich and flexible computing tools are provided in MWS-MGA.Thus,the scientific research threshold for researchers to conduct metagenomics analysis has been greatly reduced.

Key words: Computing platform, Elastic, High availability, Metagenomics, Microservices