This course on Bioinformatics aims to teach students how to analyze biological data using various tools and techniques. By the end of the course, learners will be able to plot heatmaps, identify differentially expressed genes, perform gene set enrichment analysis, analyze RNA-Seq data, understand variant call formats, conduct survival analysis, apply machine learning for biomarker identification, and utilize various R packages such as Seurat and DESeq2. The teaching method includes tutorials, explanations, and walkthroughs of different bioinformatics tools and concepts. This course is intended for individuals interested in bioinformatics, genomics, computational biology, and data analysis in the field of life sciences.
Overview
Syllabus
How to plot a Heatmap in Rstudio, the easy way - Part 1/3.
Galaxy Tutorial 1: How to identify DEGs from RNA-Seq sample.
Gene Set Enrichment Analysis (+ R tutorial).
Understanding VCF file | Variant Call Format Part 1/3.
RNASeq Analysis | Differential Expressed Genes (DEGs) from FastQ.
Clustering and Markers Identification for ScRNA-Seq | Seurat Package Tutorial.
Understanding SAM/BAM file specifications.
How to analyze GEO data in R?.
Log2 fold-change & DESeq2 model in a nutshell.
(Simplified) Linear Mixed Model in R with lme().
How to analyze 10X Single Cell RNA-seq data with R| Seurat Package Tutorial.
WGCNA in a nutshell.
Survival Analysis on Cancer data | RStudio Tutorial.
Understanding VCF file | Variant Call Format Part 2/3.
Weighted correlation network analysis (WGCNA) tutorial in R| PART I.
Understanding VCF file | Variant Call Format Part 3/3.
Hidden Markov Model | Clearly Explained.
S3 and S4 Object in R | Object Oriented Programming and Bioconductor.
You will need this for your meta analysis | Forest plot in RStudio.
Alphafold 2 and Protein Folding Explained.
Text Mining with R - Part 1 | Importing PDF and Text Detection.
How to check the frequencies of gene mutations in TCGA cancer database [R].
Creating a Heatmap in R | ComplexHeatMap tutorial p1.
How to read Cigar Strings in SAM file.
Subset Clusters in Seurat.
Summarized Experiment (se) Object from Bioconductor.
Comparing scRNA-Seq | Suerat Integration Analysis (Brief).
Gene Set Enrichment Analysis| GSEA algorithm.
I Force AI to read research paper 100 times | Text mining in R.
Annotations on Heatmaps | ComplexHeatMap tutorial.
Cancer Somatic Mutation Analysis | MAFtools R Package.
GFF3 File Format | Clearly Explained.
Buying Laptop for Bioinformatics is hard.
TCGA Biomarkers Identification using Machine Learning | Complete Walkthrough.
Why Negative Binomial is used in DESeq2?.
DEG isolation using limma voom | A Rstudio Tutorial.
Oncoprint Walkthrough (Essential).
Data manipulation in R (For Bioinformatics)| R tutorial | For beginner.
Joining Multiple Heatmaps | ComplexHeatMap tutorial.
How to Live Longer? | Disposable Soma Theory.
Youtube Channels I Would Recommend (On Bioinformatics).
R Data Project Best Practice.
16s rRNA Sequencing Analysis | Mothur Walkthrough Part 1.
Why R uses so much memory ? Probably.
How to know if two genes are similar? | Semantic Similarity Explained.
Organoid | How to Make Artificial Organs?.
16s rRNA Sequencing Analysis and Visualization.
We have a problem, you can help.
Can I make scRNA-Seq run faster in Seurat?.
I am impressed with Pop!OS.
No Code Seurat Analysis | Azimuth First Look.
cBioPortal for Human Cancer Genomics and why you should analyze the source data yourself.
Taught by
Liquid Brain
