Big Data in Immunology

Tuesday, June 18, 2024

San Francisco Marriott Marquis
780 Mission Street, San Francisco, California 94103

ImmPort logo

Overview

Overview

Are you interested in exploring public datasets? Or using shared immunology study results to further facilitate your research and gain insights into discoveries? Strengthen your funding requests? Want to develop analytical skills and hear from those who have done it?

The open-access ImmPort database provides publicly available clinical trial and immunology research datasets and bioinformatics tools for analyses. ImmPort is an NIAID-funded data repository created to share immunology-related research data with the scientific community. ImmPort currently shares over 900 studies with new data released quarterly.

Attend the ImmPort workshop to hear from scientists who have published on repurposed data. Plus, attend for a hands-on introduction to the ImmPort database and become familiar with mining the ImmPort data. Experts from the Immunology Database and Analysis Portal (ImmPort) will teach the workshop.

Learning Objectives

  • Introduction to open-access clinical trial initiatives
  • Accessing publicly available clinical trial and research datasets in the ImmPort database
  • Exposure to data reuse, reproducibility, and reanalysis of an open-access clinical trial and immunology research datasets and bioinformatics tools for analyses.
  • Hands-on tutorial on preliminary data analyses of an ImmPort study incorporating AI tools.

Course Prerequisite

No strict requirements of prior knowledge; perhaps some familiarity with clinical trials, high-throughput technologies (e.g., Flow Cytometry, RNA-Seq, Luminex), and Python programming recommended. In the hands-on session, we will illustrate methods to access and analyze ImmPort study data using Jupyter notebooks and AI tools.

Reviews

Read why last year’s attendees enjoyed the workshop:

  • “I am now more familiar with repositories to look in to reanalyze data.”
  • “The workshop itself encouraged me to update my skills in R and Rstudio.”
  • “I will start scavenging in ImmPort and try out metacyto.”
  • “The lectures were great and really informative.”

Supporter

National Institute of Allergy and Infectious Diseases

National Institute of Allergy and Infectious Diseases (NIAID)
National Institutes of Health (NIH)
Health and Human Services (HHS)
Contract #: HHSN316201200036W

Program

Chair

Sanchita Bhattacharya, University of California – San Francisco

Agenda

Session I: Invited Talks
7:30-8:00 am Continental Breakfast
8:00 – 8:10 am Introduction – Sanchita Bhattacharya, University of California, San Francisco
8:10 – 8:35 am Dictionary of Immune Responses to Cytokine at Single-cell Resolution – Ang Cui, Harvard School of Dental Medicine, Harvard University
8:35-9:00 am Innovative Tools for Analyzing Complex, Longitudinal, Multi-omics Data – Matthew Altman, Center of Systems Immunology, Benaroya Research Institute
9:00 – 9:25 am Machine Learning-based Integrative Analysis of the Immune System in Premature Children – Neema Aghaeepour, Stanford University
9:25-9:40 am AI-Ready Datasets – Reuben Sarwal, University of California, San Francisco
9:40-9:50 am Break 
9:50-10:10 am Panel Discussion – Moderator: Sanchita Bhattacharya, University of California, San Francisco
10:10-10:20 am Q & A
10:20-10:40 am Break 
Session II: Hands-on-Training with ImmPort Data
Organized by ImmPort Team
10:40-10:50 am ImmPort: An Overview – Sanchita Bhattacharya, University of California, San Francisco
10:50 am-12:00 pm Hands-on Exercise: Explore, Extract, and Analyze Clinical and Immunological Assay Data from ImmPort Using AI Tools – Organized by ImmPort Team Members
12:00 pm Adjourn

Registration

Registration Rate

Rate Workshop
Trainee/Fellow: Member  $121
Trainee/Fellow: Non-member  $121
Regular: Member  $121
Regular: Non-member  $121
Industry: Member  $121
Industry: Non-member  $121

 

Location

Screenshot 2023 09 12 131626

San Francisco Marriott Marquis

780 Mission St, San Francisco, CA 94103

Questions?

Please contact the FOCIS office by phone at +1 414-359-1670 or email at info@focisnet.org.