最大资源

Introduction to Computational Immunology Course

Registration for the on-demand course is now open.

The new 最大资源 Introduction to Computational Immunology Course is designed to equip researchers at all career stages with essential bioinformatics and computational skills. From machine learning concepts to single-cell RNA sequencing analysis to spatial transcriptomics, this course will provide immunologists with the tools they need to stay at the cutting edge of discovery.

Part 1:

**Topics* included in Part 1:**

Introduction to bioinformatics
Basic statistics and hypothesis testing
Introduction to machine learning
Transcriptomics data analysis
TCR and BCR analysis
Spatial transcriptomics data analysis
Imaging data analysis
New and relevant tools and databases

Part 2:

**Topics* included in Part 2:**

Analysis of high-dimensional flow cytometric data
Integration of scripting workflows with Illustrator for reproducible figure generation
Bulk RNA-seq data analysis
Single cell genomics
Immune modeling

*Topics may be updated prior to course registration; keep checking this page for the most up-to-date information!

On-demand registration for both Part 1 and Part 2 is now open! Registration includes on-demand access to lectures for each course. The labs, and lab-related materials, for Part 2 are not included in on-demand registration. Registration closes on December 8, 2025, and lectures will be available for viewing until January 30, 2026.

Part 1 Lectures

Course Director: Ferhat Ay, La Jolla Inst. for Immunol.

On-demand lectures
Available until January 30, 2026 (lecture run times are approximate)

Introduction to bioinformatics (3 hours)

, Yale Univ. Sch. of Med.
Basic statistics and hypothesis testing and introduction to machine learning (2 hours)

, La Jolla Inst. for Immunol.
Transcriptomics data analysis (3 hours)

, Yale Univ. Sch. of Med.
TCR and BCR analysis (2 hours)

, La Jolla Inst. for Immunol.
Spatial transcriptomics data analysis (2 hours)

and , La Jolla Inst. for Immunol.
Imaging data analysis (2 hours)

, Stanford Univ.
New and relevant tools and databases – resources (1 hour)

, Yale Univ. Sch. of Med., and , Gladstone Inst., UCSF
New and relevant tools and databases – deep learning (1 hour)

Part 2 Lectures

Missed the live course? You can now stream the full lecture recordings from the 2025 最大资源 Introduction to Computational Immunology Course, held at the University of Pennsylvania School of Veterinary Medicine—anytime, anywhere. Whether you're at home, in the office, in the lab, or studying at the library, this on-demand format lets you learn at your own pace and on your own schedule.

Course Director: Dan Beiting, Univ. of Pennsylvania

On-demand lectures
Available until January 30, 2026 (lecture run times are approximate)
Registration allows for access to the lecture materials and recordings, only. Labs and lab-related materials are not included in the on-demand registration.

, Univ. of Pennsylvania
Analysis of high-dimensional flow cytometric data (2.5 hours)

and , Univ. of Pennsylvania Perelman Sch. of Med.
Integration of scripting workflows with Illustrator for reproducible figure generation (30 minutes)

, Univ. of Pennsylvania
Bulk RNA-seq data analysis, part 1 (1.5 hours)

, Univ. of Pennsylvania
Everything, everywhere, all at once: exploring the landscape of single cell biology (1 hour)

, Princeton Univ.
Overview of principles and applications of single-cell genomics in immunology (1 hour)

, Univ. of Pennsylvania Perelman Sch. of Med.
Single cell genomics, part 2 (1.5 hours)

, Univ. of Pennsylvania
, McMaster Univ.

Immune modeling (1.5 hours)

Registration Details

On-demand registration for both Part 1 and Part 2 is now open! Registration includes on-demand access to lectures for each course. The labs, and lab-related materials, for Part 2 are not included in on-demand registration. Registration closes on December 8, 2025, and lectures will be available for viewing until January 30, 2026.

Once registered, within a week you will receive an email containing access details for the lectures.

Please contact education@aai.org with any questions.

You must be an 最大资源 member at the time of registration to receive the member rate. Not a member?Join now!.

	Part 1 registration	Part 2 registration
Academic or Government Trainee* Member	$560	$600
Academic or Government Trainee* Nonmember	$784	$840
Academic or Government Regular Member	$784	$840
Academic or Government Nonmember	$1,008	$1,080
Industry Regular or Trainee Member	$1,512	$1,620
Industry Regular or Trainee Nonmember	$1,736	$1,860

* Trainee rates are offered to undergraduate students, recent college graduates (young professionals), graduate students, or postdoctoral trainees engaged in a training program. Recent college graduates must be within 5 years of receiving a BA, BS or equivalent degree.