Imagine if we could redesign and engineer living organisms to solve some of the world’s biggest problems—like producing clean energy and curing diseases. Welcome to the exciting field of synthetic biology! In this blog post, we’ll break down the concept of synthetic biology, explore its applications, discuss its limitations, and peek into what the future might hold.
Synthetic biology is an interdisciplinary field that applies engineering principles to design and construct biological systems with novel functions. It involves DNA synthesis, genetic engineering, […]
Bioinformatics emerged in the 1960s, integrating biology and computer science to analyze biological data. Early efforts focused on sequence analysis. Advances in computing power and […]
Computational biology is an interdisciplinary field that applies computational methods to analyse biological data. It involves mathematical modelling, data analysis, and simulation to understand complex […]
BLAST (Basic Local Alignment Search Tool) is a widely used bioinformatics tool developed by the National Institutes of Health (NIH) for comparing biological sequences against […]
Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyse and interpret biological data, particularly large datasets like DNA sequences. It […]
Whole genome sequencing is a process to determine the complete DNA sequence of an organism’s genome. It provides insights into genetic variations, mutations, and diseases, […]
Sequence alignment techniques involve comparing sequences to identify similarities, differences, and evolutionary relationships. Pairwise alignment aligns two sequences, while multiple alignment aligns three or more. […]
Pairwise sequence alignment compares two sequences to identify similarities and differences, crucial in understanding evolutionary relationships and functional similarities. Algorithms like Smith-Waterman and BLAST are […]