COLUMBIA UNIVERSITY · UNITED STATES
Single Cell Analysis Boot Camp
Certificate · Taught in en
At a glance
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Duration
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IELTS
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Tuition / yr
en
Language
Certificate
Level
- 3-day intensive virtual boot campDuration
- Systems biology methods for scRNA-SeqFocus Area 1
- Spatial transcriptomics data analysisFocus Area 2
- Led by inventors of key analytical methodsInstructors
- Hands-on analytical sessionsLearning Style
- Covers AI applications in transcriptomicsAdvanced Topics
The Single Cell Analysis Boot Camp is an intensive three-day virtual training program designed to equip health and research professionals with the skills to analyze single-cell RNA sequencing (scRNA-Seq) data. The program covers foundational concepts, advanced systems biology methods for interpreting high-dimensional data, and the integration of spatial transcriptomics. Participants will learn to process, analyze, and interpret scRNA-Seq data, including quality control, clustering, cell type identification, and regulatory network analysis. The third day is dedicated to spatial transcriptomics, focusing on data analysis and understanding microenvironmental interactions, with select topics on AI applications in transcriptional data analysis. This workshop is led by experts who have pioneered network biology and single-cell analysis methodologies. It aims to provide participants with the practical knowledge needed to plan and execute scRNA-seq and spatial data analyses for real-world health studies.
Curriculum
The boot camp consists of three days of intensive training, with options to attend all days or specific days. Day 3 focuses on Spatial Transcriptomics and advanced topics.
- Day 1 & 2
- Introduction to Single Cell Data Collection and Analysis Workflows
- Advanced Methods for Phenotyping Single Cell Populations using Systems Biology Approaches
- Gene Expression Analysis (pre-processing, QC, filtering, normalization)
- Cluster Analysis
- Cell Type Identification
- Regulatory Network Analysis
- Master Regulator Analysis
- Day 3
- Spatial Transcriptomics Data Analysis
- Analysis of Spatially Resolved Cell States and Microenvironmental Interactions (e.g., tumor-immune)
- Select Topics in AI Applied to Transcriptional Data Analysis
Frequently asked questions
- What is the Single Cell Analysis Boot Camp?
- The Single Cell Analysis Boot Camp is a three-day intensive virtual training program designed to equip health and research professionals with the skills to analyze single-cell RNA sequencing (scRNA-Seq) data. It covers foundational concepts, advanced systems biology methods, and spatial transcriptomics.
- What are the dates for the boot camp?
- The training dates for the boot camp are May 18-20, 2026.
- How do I apply for the boot camp?
- Registration is currently open. You can register by visiting the provided registration link and completing the sign-up form. It is also recommended to create a free RStudio Cloud account before the workshop.
- What are the fees for the boot camp?
- Specific fee structures for the boot camp options are not provided in the available information. Please refer to the registration link for potential costs.
- What are the entry requirements for the boot camp?
- Participants benefit from an introductory background in statistics and familiarity with basic R & Python. A free RStudio Cloud account is required for lab sessions, and a free Google/Gmail account is recommended for additional materials.
- Is this training suitable for international students?
- As this is a virtual, remote training, living costs are not applicable, making it accessible to participants regardless of location.
Entry requirements
PrerequisitesIntroductory background in statistics. Familiarity with basic R & Python. A free RStudio Cloud account is required for lab sessions. A free Google/Gmail account is recommended for additional materials.
Participants will benefit from prior basic knowledge of transcriptional data analysis if attending Day 3 only.
Fees
Tuition (international)Fees for this specific boot camp are not listed in the provided documents. Please refer to the registration link for potential costs.
Tuition (home)Fees for this specific boot camp are not listed in the provided documents. Please refer to the registration link for potential costs.
LivingAs this is a virtual, remote training, living costs are not applicable.
Registration is open. Participants can choose to attend the first 2 days, all 3 days, or just the last day. Specific fee structures for these options are not provided.
How to apply
1. Visit Registration LinkClick on the provided registration link to access the sign-up form for the boot camp.
2. Complete Registration FormFill in all required details on the registration form.
3. Prepare RStudio Cloud AccountCreate a free, basic RStudio Cloud account before the workshop begins.
4. Optional: Google AccountConsider creating a free Google/Gmail account for access to additional materials via Google Colab.
Frequently asked questions
What is the Single Cell Analysis Boot Camp?
+
The Single Cell Analysis Boot Camp is a three-day intensive virtual training program designed to equip health and research professionals with the skills to analyze single-cell RNA sequencing (scRNA-Seq) data. It covers foundational concepts, advanced systems biology methods, and spatial transcriptomics.
What are the dates for the boot camp?
+
The training dates for the boot camp are May 18-20, 2026.
How do I apply for the boot camp?
+
Registration is currently open. You can register by visiting the provided registration link and completing the sign-up form. It is also recommended to create a free RStudio Cloud account before the workshop.
What are the fees for the boot camp?
+
Specific fee structures for the boot camp options are not provided in the available information. Please refer to the registration link for potential costs.
What are the entry requirements for the boot camp?
+
Participants benefit from an introductory background in statistics and familiarity with basic R & Python. A free RStudio Cloud account is required for lab sessions, and a free Google/Gmail account is recommended for additional materials.
Is this training suitable for international students?
+
As this is a virtual, remote training, living costs are not applicable, making it accessible to participants regardless of location.