This repository aims to teach students, researchers, and clinicians, among others, how to utilize the power of cloud technology for the benefit of life sciences applications and research. Here we present 12 cloud learning modules that represent a unique use case or scientific workflow. Types of data used across the modules include but are not limited to genomics, methylomics, transcriptomics, proteomics, and medical imaging data across formats such as FASTA/FASTQ, SAM, BAM, CSV, PNG, and DICOM. Learning modules range in areas from introductory material to single-omics approaches, multi-omics techniques, single cell analysis, metagenomics, and AI/ML imaging applications. To run these modules you will need a Google Cloud Project. For beginner friendly information on Google Cloud, visit the NIH Cloud Lab GitHub repository, which also includes a set of helpful Google Cloud tutorials.

Available Modules

The 12 topics and their authors are listed as follows:

Fundamentals of Bioinformatics – Dartmouth College
DNA Methylation Sequencing Analysis with WGBS – University of Hawaii at Manoa
Transcriptome Assembly Refinement and Applications – MDI Biological Laboratory
RNAseq Differential Expression Analysis – University of Maine
Proteome Quantification – University of Arkansas for Medical Sciences
ATAC-Seq and Single Cell ATAC-Seq Analysis – University of Nebraska Medical Center
Consensus Pathway Analysis in the Cloud – University of Nevada Reno
Integrating Multi-Omics Datasets – University of North Dakota
Metagenomics Analysis of Biofilm-Microbiome – University of South Dakota
Data Science for Biology, An Introduction – San Francisco State University
Analysis of Biomedical Data for Biomarker Discovery – University of Rhode Island
Biomedical Imaging Analysis using AI/ML approaches – University of Arkansas

NOTE: Free Google cloud-credits are offered for participants from INBRE network institutions and select NIGMS TWD grantees. (Please contact your Data Science /Bioinformatics Core director for INBRE or the PI for NIGMS TWD program for more details on signing up)

For more details visit: GitHub – NIGMS/NIGMS-Sandbox: Collection of cloud-based biomedical data science learning modules funded by the National Institute of General Medical Sciences at the NIH

Contact Details of PIs to reach out to join Cloud Lab Training:

NIGMS Sandbox x Cloud Lab Launch Presentation – INBRE & TWD POCs