Exploring Bioinformatics Universe
Welcome back to our Python for Bioinformatics series! In this installment, we explore tools and techniques for genomic data analysis using Python. We’ll cover how to work with genomic data using specialized libraries like PyVCF for variant files and Pysam for handling SAM/BAM files, as well as discuss basic visualization techniques for genomic data. Introduction…
Selecting the Appropriate Bioinformatics Tool In the world of bioinformatics, choosing between R and Python can feel like deciding between two powerful superheroes. Each has its unique strengths and best-use scenarios. Let’s dive into the advantages of both and explore some real-life examples to see them in action. Python: The Versatile Choice Python is like…
If you’re in academia like me, you’re most likely using High-Performance Computing (HPC) for your bioinformatics analysis. HPC is crucial for handling large-scale computations and data analyses, making it indispensable in bioinformatics research. It demands tools that deliver performance, reproducibility, and security. Singularity (now known as Apptainer) is designed with these needs in mind, making…
