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.