Bash Scripting: Automating Your Bioinformatics Workflows (Part 2)

Don't waste hours on repetitive tasks. Master Bash scripting to automate file processing, GROMACS simulations, and data organization, making your bioinformatics workflow efficient and reproducible.

NGS Data Wrangling: Understanding FASTQ and Quality Control

Before you analyze, you must check. Learn how to handle raw NGS data, understand the FASTQ format, and run quality control (QC) using the command line.

Mastering the Command Line: Moving from Windows/Mac to a Linux Remote Server

Stop clicking and start scaling. Learn how to transition from Windows/Mac to a Linux Remote Server for high-performance bioinformatics analysis using SSH and basic CLI commands.

Multiple Sequence Alignment Using ClustalW

Learn how to perform multiple sequence alignment (MSA) using ClustalW, from retrieving sequences to interpreting results. This guide covers essential steps, such as gap penalties and phylogenetic analysis, and explores how MSA reveals evolutionary relationships and functional insights in genomic research.

Microarray Analysis for DEGs

Microarray analysis examines gene expression differences between diseased and healthy tissues by labeling and hybridizing cDNA on a chip. Emission levels are measured to determine gene activity, and public tools like GEO NCBI enable comparison of patient and control data. Statistically significant changes reveal potential therapeutic targets and disease mechanisms.

Designing Primers for SNPs: Key Criteria and Bioinformatics Tools

This blog covers the basics of PCR, the role of primers, key criteria for primer design, and the significance of SNPs. It also explains how to design primers for SNP mutations using various bioinformatics tools.