6:09 why is the second T from S1 and the last T from S2 a 0? From the technique explained shouldn't it be 1 since 0-2 = -2 = 0; but the T and T match so 0+1 = 1?
You are absolutely right Ma'am, the score should be 1. And we are sorry for the mistake, unfortunately we overlooked that part while animating it. Thank you for letting us know about the mistake. Regards Bineet
@@BioinformaticaYT Thank you for clearing the doubt. And thanks for making such informative yet easy to understand videos. Thanks to you I was able to understand the concept.
Thanks Caroline, We are glad that you liked our videos. Hope you found this video helpful. Stay tuned to our channel for more Bioinformatics related videos. 😊😊
Sir , i didn't understand How you got GCT as second sequence. Is it same like Needleman?. Or is it like 3,2,1,0. And 1,0 from A-A? And we dont need to go sideways? But if we have to stop , stop till 0 and continue with next highest number?
it is so easy & simple explanation but I have a question, we know that local alignment compare between highly similar regions in the two sequences but how the smithwaterman determines the highly similar regions before searching for the optimal alignments for them ???
I guess in local alignment all positive values are considered to be 1 and all 0 and negative values are consider to be zero. So local alignment should be binary completely. Tell me if we can use major values as well
thanks for the amazing explanation sir 🙏. but sir in last row , column no. 3, why is it not1 instead of 0 ? because in column no. 3 another T is present so it should be a match right ? i am a little confused at this point.
could it be ATGCT ...................A_GCT or in my case we fall in the global alignment field?... i ask cuz i saw that in local alignment we can find a little bit of gaps (one or two MAX) from time to time too... maybe my case would fit better with two little bit more longer sequences as example?
rna.informatik.uni-freiburg.de/Teaching/index.jsp?toolName=Smith-Waterman stupid question mine... i tried with this tool too... the better local is GCT on GCT only!
The best so far, could not be much easier. You made me fall in love with Bioinformatics for the first time. God bless you
We are glad that you liked our video. Thanks for your support, It really means alot to us.
This is such a good video, and the way you make everything understandable is appreciative.
We appreciate that you found our video helpful.💐
6:09 why is the second T from S1 and the last T from S2 a 0? From the technique explained shouldn't it be 1 since 0-2 = -2 = 0; but the T and T match so 0+1 = 1?
maybe you only turn it into a 0 after adding the 1, so 0-2=-2, -2+1=-1 and -1 turns to 0
@6:09 shouldn't the T-T cell has a score of 1? (the third cell from left at the bottom)
You are absolutely right Ma'am, the score should be 1. And we are sorry for the mistake, unfortunately we overlooked that part while animating it. Thank you for letting us know about the mistake.
Regards
Bineet
@@BioinformaticaYT Thank you for clearing the doubt. And thanks for making such informative yet easy to understand videos. Thanks to you I was able to understand the concept.
Yes 👍 it be 1 in place of zero
Yes it should be , may be it was an error from his end ...
You have explained it very well, keep it up.
OMG this is super , it made very easy to understand the concept thanks and love for creators. Keep going in this way i will like to your all videos. 😊
Thank you so much for your support, It really means a lot to us 😊
Very helpful.Thank you 😊
Thank you sir for making the concept easier to understand. Please do make more videos.God bless u
Thank u sr for this valuable video
Thank you so much! your videos are great! 😊
Thank you!! All your videos are great!! And super nice animations!
Thanks Caroline,
We are glad that you liked our videos. Hope you found this video helpful. Stay tuned to our channel for more Bioinformatics related videos. 😊😊
I love you bro, you saved my grades!
perfectly described thanks man
thank you for the easy explanations!! helped a lot
Marvelous, keep doing the great work. It is really helpful.
👍👍👍👍👍👍👍
The explanation is so on point
thank you so much sir!! great explanation!!
Is the traceback step the same as the global sequence alignment?
Very helpful
Best video.. explanation is amazing
best explanation sir. Thanks!
Thank you so much for such a wonderful explanation
Best ever explanation
life saver
Excellent bro
Sir had kardya.....very helpful...
Love from pakistan..
Thank you sir for making the concept easier to understand. Please do make more videos.
Best explanation 👌👌👌👌
Thanks a lot sir
This Channel or teacher is so cool :)
I think there is a mistake in last row. T - T should be 1 not 0
Yess
Yes noticed that too
How do you get 0 from the cell ( T , T ) on the 3rd column and last row?
Exactly it should be 1
wonderful!!!!
Thanks
Best one for LAP
Thank you a lot sir for making my doubt clear 🙏
That video really helped me, thanks for your effort
Wow great explanation 💥💥💥💥💥
This video is very useful 👍
Amazing way for understanding, i understand only one time... Best 👍👍👍
Sir , i didn't understand How you got GCT as second sequence. Is it same like Needleman?.
Or is it like 3,2,1,0. And 1,0 from A-A?
And we dont need to go sideways? But if we have to stop , stop till 0 and continue with next highest number?
Thank you ❤❤
I watch video from Egypt
This the first time I understand bioinformatic ,thanks again 😊
it is so easy & simple explanation but I have a question, we know that local alignment compare between highly similar regions in the two sequences but how the smithwaterman determines the highly similar regions before searching for the optimal alignments for them ???
Very helpful Thanks
I guess in local alignment all positive values are considered to be 1 and all 0 and negative values are consider to be zero. So local alignment should be binary completely. Tell me if we can use major values as well
Thanks for this
Question.
M(5,3)=1 , isn't it?
well described
how dou u make the presentation using which software ?
Seq:1 - AGC
Seq:2 - AAAC
Gap -2
When match give +1
When mismatch give -1
How to find local and global allignments?
We can do global alignment with it
But local alignment.....
thanks for the amazing explanation sir 🙏. but sir in last row , column no. 3, why is it not1 instead of 0 ? because in column no. 3 another T is present so it should be a match right ? i am a little confused at this point.
You are right, this is the error in the video.
could you someone explain me when a gap is occured?
i am confused!!
does local aligment mean semiglobal alignment?
Not exactly but kind of, Cause in local alignment our main goal is to aligned the more conserved regions only.
could it be ATGCT
...................A_GCT
or in my case we fall in the global alignment field?... i ask cuz i saw that in local alignment we can find a little bit of gaps (one or two MAX) from time to time too...
maybe my case would fit better with two little bit more longer sequences as example?
rna.informatik.uni-freiburg.de/Teaching/index.jsp?toolName=Smith-Waterman
stupid question mine... i tried with this tool too... the better local is GCT on GCT only!
Hmy needle man wunsch ki chiy assignment plz send kr dy koi
notes?
Excellent illustration. But the accent is very hard for me to understand.
Very helpful