bioRxivBioinformaticsPreprint
Accessible and interactive RNA sequencing analysis using serverless computing
Abstract
We 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.
- organism: human
- assay: bulk RNA-seq
- research focus: dimensionality reduction
- approach: experimental assay
- Citations
- 14
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