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基于谷歌云平台的全基因组亚硫酸氢盐测序数据分析学习模块。

Whole-genome bisulfite sequencing data analysis learning module on Google Cloud Platform.

机构信息

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo Street, Honolulu, HI 96813, United States.

Health Data and AI, Deloitte Consulting LLP, 1919 N. Lynn Street, Arlington VA 22209, United States.

出版信息

Brief Bioinform. 2024 Jul 23;25(Supplement_1). doi: 10.1093/bib/bbae236.

Abstract

This study describes the development of a resource module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox at the beginning of this Supplement. This module is designed to facilitate interactive learning of whole-genome bisulfite sequencing (WGBS) data analysis utilizing cloud-based tools in Google Cloud Platform, such as Cloud Storage, Vertex AI notebooks and Google Batch. WGBS is a powerful technique that can provide comprehensive insights into DNA methylation patterns at single cytosine resolution, essential for understanding epigenetic regulation across the genome. The designed learning module first provides step-by-step tutorials that guide learners through two main stages of WGBS data analysis, preprocessing and the identification of differentially methylated regions. And then, it provides a streamlined workflow and demonstrates how to effectively use it for large datasets given the power of cloud infrastructure. The integration of these interconnected submodules progressively deepens the user's understanding of the WGBS analysis process along with the use of cloud resources. Through this module, we can enhance the accessibility and adoption of cloud computing in epigenomic research, speeding up the advancements in the related field and beyond. This manuscript describes the development of a resource module that is part of a learning platform named ``NIGMS Sandbox for Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox [1] at the beginning of this Supplement. This module delivers learning materials on the analysis of bulk and single-cell ATAC-seq data in an interactive format that uses appropriate cloud resources for data access and analyses.

摘要

本研究描述了一个资源模块的开发,该模块是名为“NIGMS 基于云的学习沙盒”(https://github.com/NIGMS/NIGMS-Sandbox)的学习平台的一部分。沙盒的总体起源在本增刊开头的社论“NIGMS 沙盒”[1]中进行了描述。该模块以交互格式提供有关批量和单细胞 ATAC-seq 数据分析的学习材料,使用适当的云资源进行数据访问和分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2479/11264297/266bf7a40316/bbae236f1.jpg

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