Resources: Learning series

Informational articles about algorithms, analyses, and visualizations in computational biology and bioinformatics.

The importance of considering covariates in RNA-seq and other -omics data analysis
The Origins, Comparisons, and Practical Insights into PRO-seq Technology
Navigating RNA-Seq Data: A Comprehensive Guide to Normalization Methods
Understanding Key File Formats in High-Throughput Research
Exploring the Differences Between Computational Biology and Bioinformatics
The Importance of Kaplan-Meier Curves in Computational Biology Research
What is RSEM?
Dimensionality Reduction Techniques in Computational Biology: Insights, origins, and Emerging Directions
Visualizing Genomic Data with IGV Plots: A Powerful Tool for Genomic Research
Differential Expression Analysis: Understanding the Techniques and Benefits in Research
Understanding Z-scores in RNA-seq Analysis
Revolutionizing Gene Expression: The Power of qPCR
Unraveling the Power of ChIP-seq: A Guide to Understanding Protein-DNA Interactions
Understanding Fraction and Reads in Peaks: A Guide for ChIP-seq and ATAC-seq Analysis
Exploring the Power of ATAC-seq: A Guide to Understanding Chromatin Accessibility
DESeq2: An Overview of a Popular RNA-Seq Analysis Package
Unleashing the Power of Next-Generation Sequencing (NGS) with the Right Software
Cytokine Panels: An In-Depth Guide to Analysis and Significance
An Introduction to SAMtools: A Powerful Tool for Analyzing Next-Generation Sequencing Data
Trimming RNA-seq Data: A Step-by-Step Guide
Understanding the Role of Bioinformatics Engineers