LiquidBrain Bioinformatics Courses

rRNA Sequencing Analysis and Visualization

Analyze 16S rRNA microbiome data through OTU clustering, diversity analysis, PCA, phylogenetic trees, and taxonomy visualizations.

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

Cancer Somatic Mutation Analysis - MAFTOOLS R Package

Use R and maftools to import, visualize, and analyze somatic mutation data in MAF files from cancer cohorts.

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

Dealing with Missing Data in R

Learn to impute missing data in R using mean, kNN, and mice methods, then evaluate effectiveness on gene-expression data.

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

TCGA Biomarkers Identification Using Machine Learning - Complete Walkthrough

A practical R and RStudio workshop for identifying prostate cancer biomarkers from TCGA gene-expression data with a neural network.

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

Comparing scRNA-Seq - Seurat Integration Analysis

A practical Seurat workflow for integrating single-cell RNA-seq datasets and comparing gene expression across conditions and cell types.

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

Linear Mixed Model in R with lme

Learn how linear mixed models account for fixed and random effects, reduce pseudoreplication, and are fitted in R.

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

Joining Multiple Heatmaps - ComplexHeatMap Tutorial

Combine multiple R ComplexHeatmap plots into one annotated figure, adjusting layout, labels, dimensions, gaps, and clustering.

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

Creating a Heatmap in R - ComplexHeatmap Tutorial Part 1

Walkthrough of customizing genomic heatmaps in R with the ComplexHeatmap Bioconductor package.

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

Log2 Fold-Change & DESeq2 Model in a Nutshell

Understand why log2 fold change clarifies RNA-seq comparisons and how DESeq2 normalizes counts and tests differential gene expression in R.

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

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

Analyze single-cell RNA-seq data in Seurat: perform QC, normalization, PCA/UMAP clustering, and identify marker genes for cell types.

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

RNASeq Analysis - Differential Expressed Genes from FastQ

Run a local, open-source RNA-seq workflow from raw FASTQ files to count matrices and differentially expressed genes using Rsubread and DESeq2.

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

Survival Analysis on Cancer Data - RStudio Tutorial

A step-by-step RStudio workflow tests whether gene expression affects cancer-patient survival using The Cancer Genome Atlas data.

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

Deep Learning in Bioinformatics - Recent Advancement

An overview of deep learning architectures and their applications in bioinformatics, including autoencoders and deep belief networks.

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