Abstract
With the advent of Next-Generation Sequencing (NGS) technologies, the needs for computing power, storage, and several bioinformatics tools are getting urgent. Cloud computing is a promising solution for such computationally intensive problems. In this work, we provide a review of the most NGS tools that are running on the cloud to analysis the big multi-omics data involved in NGS platforms. This study provides a comprehensive overview of the most important NGS tools that are used and operated on cloud platforms. We reported features and the requirements of each tools in details. To the best of our knowledge, a comprehensive recent review covering all cloud-based NGS platforms has not been reported yet. In this review, we comprehensively study 20 could-based tools used for NGS data analysis. We extensively analyze and classify these NGS tools in order to provide guiding overview for NGS researchers.
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