Hi Biostars community,

I've recently published a series of in-depth tutorials on ngs101.com covering some common analysis workflows that come up frequently here. Thought they might be helpful for those working through these types of analyses:

Co-expression Network Analysis

Building gene co-expression networks from RNA-seq data

WGCNA implementation and module identification

Network visualization and biological interpretation

Hi-C Analysis

Processing Hi-C data for chromatin interaction mapping

TAD identification and visualization

Integration with other genomic datasets

DNA Methylation Analysis

EPIC Arrays, WBGS and RRBS data processing pipelines

DMR identification and functional annotation

Visualization strategies for methylation data

Whole Genome/Exome Sequencing

Variant calling best practices

Annotation and filtering strategies

Clinical interpretation workflows

Each tutorial includes working code examples, real dataset demonstrations, and troubleshooting tips for common issues. All tutorials are freely available at: https://ngs101.com/tutorials/