NIGMS Sandbox Funded Modules

The NIGMS Sandbox is a collection of cloud-based biomedical data science learning modules to teach students, researchers, clinicians, and others how to use the power of cloud technology for life sciences applications and research.

New grants issued in July 2024 are listed below.

Introduction to Data Science and Machine Learning

  • Data Science Foundations: R Programming – Duke University
  • Foundations of Python for Data Science – University of Idaho
  • Practical Data-Centric AI/ML for Biomedical Researchers – University of Delaware

Genetic and Genomic Analysis

  • Comparative Microbial Genomics – Dartmouth College
  • Graphical Pangenomes – New Mexico State University Las Cruces
  • Learning Phylogenetic Tree Design and Analysis with Applications – University of South Dakota
  • Microbial Analysis of 16S rRNA Sequencing Data – University of Nevada, Reno
  • Module for ChIP-seq, with CUT&RUN, and CUT&Tag – University of Nebraska Medical Center
  • RADseq for Population Genetics, Linkage Mapping, and GWAS – University of Wyoming
  • RNA Methylation Sequencing Data Analysis Learning Module – University of Hawaii at Manoa
  • ScRNASeq, miRNASeq, and Transcription Factors – University of Maine

Protein Structure and Interactions

  • Identifying Protein-Protein Interactions with ML Methods – Georgia Institute of Technology
  • Protein Crystal Data Collection for Solving Protein Structure – University of Southern Mississippi
  • Protein Structure, Docking and Protein-Protein Interactions – Louisiana State University