To request a class, please contact MolBio.
This workshop would provide a brief overview of HSLS-licensed CLC Genomics Workbench, a comprehensive analysis package for genomics, transcriptomics, and epigenomics research.
Topics to be covered are:
• What’s new in version 23
• Super fast read mapping From fastq to VCF
• Bullk RNA-seq improvements
• Single-cell data analysis tools
This is a flipped class covering the more advanced topics in R programming for data analysis and the second part of a three-part series: Introduction to R; Data Wrangling in R, and Data Visualization in R. Upon registration, you will receive links to workshop materials (PowerPoint slides, lecture videos, and practice exercises) that you can view on your own schedule. During the hands-on in-person session, you will learn how to solve the exercise problems.
One of the biggest strengths of the All of Us dataset is data from surveys. This workshop will provide details about the survey data present in All of Us and show how to use that data within a project, including how to link the data to concept sets and EHR data datasets.
The workshop will focus on microbial genomics data analysis with CLC Genomics Workbench. You will learn how to:
- Perform microbial genomics data analysis with ease and accuracy
- Conduct AVS (antiviral screening) analysis
- Perform hybrid viral sequencing
- Generate whole genome taxonomies profiles and AMR (antimicrobial resistance) reports
The workshop will focus on microbial genomics data analysis with CLC Genomics Workbench.
You will learn how to:
- Perform microbial genomics data analysis with ease and accuracy
- Conduct AVS (antiviral screening) analysis
- Perform hybrid viral sequencing
- Generate whole genome taxonomies profiles and AMR (antimicrobial resistance) reports
The All of Us Research Program (AoURP), led by the National Institutes of Health, is a longitudinal cohort study aimed at advancing precision medicine and improving human health
This workshop would provide a brief overview of HSLS-licensed CLC Genomics Workbench, a comprehensive analysis package for genomics, transcriptomics, and epigenomics research.
Topics to be covered are:
• What’s new in version 23
• Super fast read mapping From fastq to VCF
• Bulk RNA-seq improvements
• Single-cell data analysis tools
This workshop will cover the Overview of NIH supported data repositories with specific focus on Gene Expression Omnibus (GEO) repository. We will learn how to find high throughput gene expression studies - bulk RNA-seq/ scRNA-seq /microarray from GEO, retrieve gene expression count data, and generate a list of differentially expressed genes (DEG) between two conditions. We will use a variety of bioinformatics tools such as R shiny app iDEP, Correlation engine, GEO2R, etc.
This workshop uses two library-licensed software - Ingenuity Pathway Analysis (IPA) and Illumina's Correlation Engine (CE) to teach biological pathway enrichment analysis. Upon registration, you will receive links to workshop materials (PowerPoint slides, lecture videos, and practice exercises) that you can view on your schedule. During the class, you will learn how to solve exercise problems.
Participants will learn how to:
All of Us data includes data from electronic health records (EHR) for hundreds of thousands of people. This workshop will introduce the fundamentals of working with terminologies important to research using EHR data. The workshop will cover the construction of concept sets, important terminologies (ICD, SNOMED, LOINC, and RxNorm), and how to use them to subset patient data from the All of Us dataset.