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.
Wow just awesome. Exactly what I was looking for as a beginner
Glad it was helpful!
This was very concise and helpful
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.
🥳🥳🥳🥳
Thank you very much for the kind words. Comments like yours really motivates us on keep creating more content. Thank you. And all the best
Thanks for making this informative video! It is super helpful!
Thank you very much
It was really helpful and precisely well explained, thank you ❤️
You are most welcome ❤
Excellent explanation sir. Thank you from my heart 💓
You're most welcome
Thank you for your sharing! This helps a lot!
You are welcome.
Thank you so much for this. It was amazing.
You're so welcome!
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?
I just needed this
Can we get to know the identity and gap percentage in MUSCLE software (multiple sequence alignment)?? If yes, then how do we check for that?
Thank you Sir really help me. Sir sequence similarity we can only find for protein sequences?
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.
Terrific!
You are welcome. All the best!
Thank you so much
You are most welcome 🤗
Thanks for sharing
Thanks for watching!
Thx
You are most welcome
Sir please reply to my question.
Which is the most accurate sequence alignment and why?
It's really urgent..
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.
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Thanks
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