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.

Harnessing Multi-Omics for Personalized Medicine: A New Era in Healthcare

This blog dives into how integrating different types of biological data—like genes, proteins, and metabolites—is transforming personalized medicine. By combining these layers of information, multi-omics gives doctors a more detailed and accurate understanding of each person’s unique biology, leading to more precise and effective treatments.

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.

Protein modeling: Unlocking the secrets of the building blocks of life.

This blog introduces the concept of protein modeling, explaining its critical role in understanding protein structures and their biological functions. I have provided a detailed overview of three key protein modeling methods--Homology Modeling, Ab Initio Modeling and Threading. With practical examples, it shows how computational tools can solve complex biological problems.