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 involves developing algorithms, software tools, and databases to extract meaningful insights for biological research and applications. This is an MCQ on Bioinformatics: Concept and Applications. […]
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, aiding in personalized medicine, evolutionary studies, and understanding genetic traits and predispositions. This is an MCQ on Genome Sequencing Programmes. | Biotechnology Notes | Biotechnology […]
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. Algorithms like Needleman-Wunsch and Smith-Waterman use dynamic programming to optimize alignments based on scoring systems. This is an MCQ on Sequence Alignment Techniques in Bioinformatics. […]
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 commonly used, considering factors such as scoring matrices, gap penalties, and alignment methods. This is an MCQ on Pairwise Sequence Alignment Technique Principle and Applications […]
Multiple Sequence Alignment (MSA) is the process of aligning three or more biological sequences simultaneously. It aids in identifying conserved regions, understanding evolutionary relationships, and predicting functional elements. MSA methods include progressive alignment, iterative methods, and tools like Clustal Omega and MUSCLE. This is an MCQ on Multiple Sequence Alignment […]