In recent years, the landscape for scientific computing tools has shifted, especially in research environments at large institutions and corporations. Anaconda, which was once the go-to distributio...
In today’s data-driven world, visualizing high-dimensional data is a crucial step in exploratory data analysis. One of the most powerful techniques for this is t-SNE (t-distributed Stochastic Neigh...
As a new researcher in biology, you’ve probably come across the term bioRxiv (pronounced “bio-archive”). It’s one of the most talked-about platforms in modern biology, but what exactly is it, and w...
NVIDIA is a household name in the tech world, renowned for producing some of the most powerful Graphics Processing Units (GPUs) available today. Whether you’re a gamer, a professional designer, a r...
Functional analysis is a crucial step in understanding the biological significance of genes identified in genomic studies. Whether you’re dealing with differentially expressed genes (DEGs) from RNA...
In bioinformatics, particularly in the analysis of DNA methylation or gene expression data, the limma package in R is a powerful tool for identifying differentially expressed genes or differentiall...
If you’re new to Jekyll and the Ruby ecosystem, managing a Jekyll site along with its dependencies can seem a bit overwhelming. However, once you understand the basics of Ruby, Gems, and Bundler, y...
In DNA methylation studies, particularly in differential analysis, researchers often face the choice between using M-values or Beta values. While both metrics provide insights into methylation leve...
Problem Recently, while working on normalizing an RGSet object using the preprocessQuantile function in R, I encountered the following error: mSetSq <- preprocessQuantile(rgSet) Error in norma...
When working with R and renv to manage project dependencies, you might encounter issues during package installation, particularly when using a Conda environment. In this post, I’ll walk through a p...