Thank you for such an amazing learning experience 💫🥳🥳 Thank you Professor! I know how hard you work for students and it is difficult to teach most people whose second language is English. You are very patient and full of information. 🥳🥳🥳🥳
Hello. Some tutorials say we first need to break the sequences in chunks of size 6 and then align each chunk and count. When do we need to use this method and when should we work with the whole sequence?
You are most welcome. No, also for nucleotide sequences. Then, the similarity will depend on the distance between the sequences as well as on gaps etc.
The choice of method depends on the specific task. For closely related sequences, optimal alignments like Needleman-Wunsch and Smith-Waterman can be used. For aligning large datasets or finding remote homologs, iterative methods or HMM-based approaches might be more appropriate. It's essential to assess the specific requirements of the task and the characteristics of the sequences being aligned to choose the most suitable method.
