Introduction to Weighted Gene Co-expression Network Analysis (WGCNA) | Bioinformatics 101

Weighted Gene Co-expression Network Analysis (WGCNA) is a commonly used unsupervised method to cluster genes based on their expression profiles. In this video I go over the idea behind WGCNA and provide a high-level overview of various steps that go into this analysis. In addition, I talk about good practices when performing WGCNA. I hope you find this video helpful! Leave your thoughts in the comment section below! Chapters: 0:00 Intro 1:01 Studying systemic response 3:04 Basic idea behind WGCNA 4:00 Examples of functional association among co-expressed genes 6:27 Terminologies 7:44 WGCNA workflow steps (high level overview) 9:19 WGCNA Applications 9:54 Good practices You can show your support and encouragement by buying me a coffee: https://www.buymeacoffee.com/bioinformagic To get in touch: Website: https://bioinformagician.org/ Github: https://github.com/kpatel427 Email: [email protected] #bioinformagician #bioinformatics #wgcna #coexpressionnetworks #geneexpression #sequencing #coverage #samtools #depthofsequencing #samflag #sam #bam #alignment #phred #fasta #fastq #singlecell #10X #ensembl #biomart #annotationdbi #annotables #affymetrix #microarray #affy #ncbi #genomics #beginners #tutorial #howto #omics #research #biology #GEO #rnaseq #ngs