The NIGMS is offering free access to their new Sandbox platform through Maine INBRE. Access includes 12 analysis training modules in different -omics areas, image analysis and data science, as well as access to the computational infrastructure to complete the training.
Contact Bioinformatics Core Co-Director Joel Graber (gro.lbidmnull@rebargj) ASAP to apply for a slot!
NIH/NIGMS Cloud Learning Modules. 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. 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.
• Fundamentals of Bioinformatics
— DNA Methylation Analysis
— Transcriptome Assembly
— Genomic Annotation and
— ATACseq and sc-ATACseq
• Multi-omics and Metagenomics:
— Metagenomics of Biofilm
— Multi-omics Analysis
• Machine Learning:
— Biomedical Image Analysis
— Biomarker Discovery with ML/AI
• Data Science Methodology:
— Biomedical Data Science