Single-cell Sequencing Courses and Certifications

LiquidBrain Bioinformatics

Clustering and Markers Identification for ScRNA-Seq - Seurat Package Tutorial

Learn to analyze single-cell RNA-seq data using Seurat package, covering data import, QC, normalization, clustering, and marker identification. Gain insights into cell interactions and create visualizations.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Broad Institute

Large-Scale Differentiable Causal Discovery of Factor Graphs - Lecture and Primer

Explore large-scale causal discovery using factor directed acyclic graphs and differentiable optimization. Learn about causal representation learning for genetic perturbations and combinatorial extrapolation.

• YouTube
• 1 hour 50 minutes
• Self-Paced
• Free Video

AWS Events

Building a Precision Medicine Platform Using AWS HealthOmics

Discover how Stanford Data Ocean leverages AWS HealthOmics to build a serverless precision medicine platform, enabling efficient processing of multi-omics datasets and wearables data for researchers and students.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Broad Institute

Single-Cell Spatiotemporal Modeling - From RNA Velocity to Spatial Transcriptomics

Explore single-cell spatiotemporal modeling with dynamo framework and Stereo-seq technology. Uncover insights into cellular states, transitions, and spatial dynamics in developmental biology and neuroscience.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Broad Institute

Seurat v5: Cross-Modality Mapping and Large-Scale Clustering of Single-Cell Data

Explore advanced techniques for integrating and analyzing single-cell data across modalities using Seurat v5, including bridge integration and atomic sketching for improved scalability and clustering.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

LiquidBrain Bioinformatics

Comparing scRNA-Seq - Seurat Integration Analysis

Learn to integrate and compare scRNA-Seq datasets from different conditions using Seurat, covering data import, integration, differential expression analysis, and visualization techniques.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Bioinformagician

Automatic Cell-Annotation for Single-Cell RNA-Seq Data Using a Reference Dataset - A SingleR Tutorial

Learn to annotate cell types in single-cell RNA-Seq data using SingleR. Explore annotation strategies, reference datasets, and diagnostic tools for accurate cell type assignment and visualization.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Bioinformagician

Automatic Cell Annotation for Single-Cell RNA-Seq Data - Multiple Reference Strategies in SingleR - Part 2

Explore advanced cell-annotation techniques for single-cell RNA-Seq data using SingleR, including multiple reference datasets, visualization strategies, and harmonized labeling approaches.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

EuroPython Conference

Bioinformatics Pipeline for Revealing Tumour Heterogeneity

Explore a Python-based bioinformatics pipeline for analyzing single-cell DNA sequencing data to reveal tumor heterogeneity and inform personalized cancer treatments.

• YouTube
• 28 minutes
• Self-Paced
• Conference Talk

Broad Institute

Scalable Single-Cell Models for eQTL Mapping - Primer and Main Talk

Explore scalable single-cell models for robust cell-state-dependent eQTL mapping. Learn about statistical challenges, computational solutions, and applications in identifying autoimmune disease risk loci in memory T cells.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Broad Institute

Data Thinning to Avoid Double Dipping in Statistical Analysis - Lecture 1

Explore data thinning techniques to prevent double dipping in statistical analysis, with applications in single-cell RNA sequencing and unsupervised learning problems.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

Empirical Bayes Matrix Factorization and Parts-Based Representations

Explore empirical Bayes matrix factorization and parts-based representations in computational genomics, focusing on tumor transcriptional heterogeneity analysis from single-cell RNA-seq data.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

Issues with Deconvolution Using Single-Cell Profiles - CGSI 2024

Explore challenges in deconvolution using single-cell profiles, examining key issues and potential solutions in computational genomics.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

A Guide to Perform Transcriptomic Deconvolution in Cancer

Explore transcriptomic deconvolution techniques for cancer research, focusing on tumor cell mRNA expression estimation and improved analysis of cell-type ratios in complex tissue samples.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Labroots

Multifaceted Community Analyses Uncover Novel Bacterial Species in the Colorectal Tumor Niche

Explore novel bacterial species in colorectal tumors through cutting-edge culturing and sequencing techniques. Gain insights into microbial diversity and potential roles in cancer progression.

• YouTube
• 24 minutes
• Self-Paced
• Free Video