Tasnim Nour

When talking about informatics in science, we often link it to large biological data like DNA sequence, while this is true and important in its own scope, chemical data is also important to spot the light on, especially in topics like Drug discovery. Chemoinformatics is a field that joins computer

Multiple sequence alignment (MSA) is a computational technique that aligns three or more biological sequences, typically DNA, RNA, or proteins. The aim is to arrange these sequences in a way that highlights their homologies and differences, revealing regions of shared ancestry and potential functional importance. The complexity of MSA increases

Introduction In the evolving landscape of cancer research, high-throughput sequencing technologies have become a beacon, extracting vast raw genomic data. This wealth of information, however, is merely a starting point. The true challenge—and opportunity—lies in refining this data into actionable insights, aiming to increase our knowledge for genomic

Introduction Proteins perform multiple crucial functions, from constructing tissues to orchestrating biochemical reactions. The study of these intricate molecular machines is known as proteomics. This relatively young field has already left an indelible mark on our understanding of biology. In this blog we will dig deep into proteomics research steps.

Our data consists mostly of numbers, while making sense of it seems like a daunting task, data visualization is the savior, turning the data into figures and statistical graphs that a human brain can understand and pick-up on the patterns and phenomena happening in the data. Visualizing data requires understanding

Introduction In the expansive universe of genomics, amidst the dynamic realm of changing nucleotides, reside the guardians of evolutionary history: conserved genes. These genetic sequences, resilient to the passage of time and mutation, offer a glimpse into our ancestral past and shed light on the fundamental constructs of life. Exploring