In June 2021, the University of Michigan Taubman Health Sciences Library partnered with NCBI to offer a series of 4 virtual workshops on NCBI resources. More about these sessions and access to the handouts and recordings are below.
- NCBI Resources for Genetic Disease Discovery and Clinical Support
The use of genetic testing in patient care is becoming more common in clinical practice. NCBI has long had resources for biologists to explore what is known about genomes, genes and genetic variations, but has recently developed clinically-focused resources. This online, interactive workshop was designed for those involved in clinical practice and/or translational research.
- NCBI Genome Resources for Animal Model Organism Research
This online, interactive workshop focused on NCBI’s web-based resources for accessing and analyzing genome assemblies and annotation data, with an emphasis on nonhuman organisms. It covered several NCBI databases, including Genome, Assembly, BioProject, Taxonomy, Gene, and SRA. It also briefly discussed NCBI’s analysis and standalone tools, such as the Genome Data Viewer (GDV), SRA Toolkit and MagicBLAST.
- An Update on NCBI BLAST and Other Sequence Analysis Tools
This virtual workshop highlighted new displays and features and introduced best practices for use of NCBI BLAST services. It covered when and how to use important but often misunderstood aspects of the BLAST programs, specialized services, and databases. It explored other important sequence analysis services, including Primer BLAST, an oligonucleotide primer designer and specificity checker, and COBALT, a multiple protein sequence alignment tool. Finally, it included brief demonstrations of standalone BLAST and related tools, including SRAToolkit BLAST and MagicBLAST.
- Getting Started with NCBI Data in Python
Learn how to tackle bigger biomolecular datasets more reliably with the power of Python programming. This workshop was designed for biologists without programming experience. The examples used genomic, transcript, and protein sequence data, but the programming skills were broadly relevant for all biologists. This online, interactive workshop covered how to:
- Use Python programming to download, analyze, and visualize data.
- Use Jupyter to create data analysis 'lab notebooks' that make it easy to reproduce & share your work.
- Find data that is relevant to your project using the new NCBI Datasets resource. Explore metadata to learn about which datasets are available.
- Download sequence data with NCBI Datasets and manipulate it with the BioPython package.