Accessible and interactive RNA sequencing analysis using serverless computing

Author:

Hung Ling-HongORCID,Niu Xingzhi,Lloyd WesORCID,Yeung Ka YeeORCID

Abstract

AbstractWe present a novel method that yields 1100-fold computational speedup and allows biomedical scientists to interactively adjust alignment parameters in real time to iteratively improve final analytical results. Specifically, the alignment time for a 640 million read human RNA-sequencing dataset is reduced from 19 hours to 1 minute using serverless cloud computing. We provide a graphical interface for the accelerated workflows, thus making our methodology accessible to non-cloud experts.

Publisher

Cold Spring Harbor Laboratory

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data pipeline approaches in serverless computing: a taxonomy, review, and research trends;Journal of Big Data;2024-06-11

2. Scaling a Variant Calling Genomics Pipeline with FaaS;Proceedings of the 9th International Workshop on Serverless Computing;2023-12-11

3. AFMC: An alignment framework for multiple computing services and providers;Concurrency and Computation: Practice and Experience;2023-01-10

4. Accelerating Edge Metagenomic Analysis with Serverless-Based Cloud Offloading;Computational Science – ICCS 2022;2022

5. Performance Issues and Monitoring Mechanisms for Serverless IoT Applications—An Exploratory Study;Smart Computing Techniques and Applications;2021

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