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Bioinformatica
Добавлен 28 июл 2020
BY BIOINFORMATICIANS - OF BIOINFORMATICIANS - FOR BIOINFORMATICIANS
"BIOINFORMATICA" is an initiative to provide quality videos on bioinformatics related topics for a better understanding of the students who are studying bioinformatics or those who want to join bioinformatics.
"BIOINFORMATICA" is an initiative to provide quality videos on bioinformatics related topics for a better understanding of the students who are studying bioinformatics or those who want to join bioinformatics.
Overview of Biological Databases
The video is all about types of Databases in Bioinformatics.
This video explains what is Biological databases and their various types as Primary, Secondary, and Derived Databases. It also tells about what kind of data is stored in biological databases. It also explains the differentiation of primary and secondary databases as nucleotide and protein databases. It explains primary databases by taking examples of EMBL, DDBJ, and GenBank in nucleotide database and it also tells how these three work together and how the information is stored or retrieved from these databases. Few examples as PIR, Swiss-prot, and PRF in the Protein sequence database.
It explains Secondary database with few exampl...
This video explains what is Biological databases and their various types as Primary, Secondary, and Derived Databases. It also tells about what kind of data is stored in biological databases. It also explains the differentiation of primary and secondary databases as nucleotide and protein databases. It explains primary databases by taking examples of EMBL, DDBJ, and GenBank in nucleotide database and it also tells how these three work together and how the information is stored or retrieved from these databases. Few examples as PIR, Swiss-prot, and PRF in the Protein sequence database.
It explains Secondary database with few exampl...
Просмотров: 42 718
Видео
How to install Ubuntu || Single Boot & Dual Boot | Simple
Просмотров 8 тыс.3 года назад
How to install Ubuntu || Single Boot & Dual Boot | Simple In this video, we will learn how to install an ubuntu operation system in our system in a very fast and efficient way. This tutorial video is for beginners and students who are just introduced to ubuntu. Here we will learn a step by step walkthrough of the entire installation process. RESOURCES LINK RUFUS: drive.google.com/file/d/12b3y7K...
Bioinformatics || What is it and Why to choose it ?
Просмотров 7 тыс.3 года назад
Bioinformatics || What is it and Why to choose it? In this video, we have discussed what is Bioinformatics. Learned about the basics of bioinformatics. And learn why should anyone opt for bioinformatics and what are the pre-requirements for joining bioinformatics. In this video, we also talked about the importance of bioinformatics and how it is different from conventional biology. PLEASE SUBSC...
Pairwise Alignment
Просмотров 26 тыс.3 года назад
In this video we have discussed the pairwise alignment in Bioinformatics. Pairwise alignment is the process of aligning the DNA or protein sequences. You'll get the knowledge of history of alignment algorithms. Also we discussed various alignment algorithms and what was the need to design several algorithms. You can also watch our other videos, the links are provided below: Scoring matrices: Ba...
Local Sequence Alignment & Smith-Waterman || Algorithm and Example
Просмотров 107 тыс.3 года назад
Local Sequence Alignment & Smith-Waterman || Algorithm and Example In this video, we have discussed how to solve the local sequence alignment in bioinformatics using the Smith-Waterman algorithm. In local alignment, we align the substrings or stretches of sequences with the highest similarities. In this video, we learn who we can solve a local alignment problem with very simple steps. Before wa...
BLOSUM matrix
Просмотров 24 тыс.3 года назад
This video contains an overview about BLOSUM matrix and how to construct a BLOSUM matrix for calculating the score of the sequence alignment when we study sequence comparisons. BLOSUM matrix is commonly used matrix (like PAM matrix) in the field of bioinformatics mainly in sequence analysis. BLOSUM matrix was first developed by Dayhoff and Dayhoff. Default matrix for protein blast is BLOSUM 62....
Needleman-Wunsch algorithm for global alignment - Python
Просмотров 17 тыс.3 года назад
Global Sequence Alignment & Needleman-Wunsch || step by step Python tutorial In this video, we have created a simple python program to solve the global alignment problem using the Needleman Wunsch algorithm. Hopefully, this video will help you to get a better understanding of the algorithm and it will help students in their bioinformatics or biotechnology assignments. THE CONCEPT OF GLOBAL ALIG...
PAM matrix
Просмотров 38 тыс.3 года назад
This video is based on bioinformatics in which we have discussed about the PAM matrix. PAM matrix was first developed by Margaret Dayhoff. It is among mostly used matrix for the purpose of sequence comparisons. The matrix is used to describe evolutionary distance between the sequences. Check our other videos, link is provided below: Scoring matrices: Basic concept of scoring matrix ruclips.net/...
Scoring Matrices: Basic concept of scoring matrices
Просмотров 44 тыс.4 года назад
Scoring Matrices: Basic concept of scoring matrices In this video we have discussed Scoring matrices and the types of scoring matrices.We have also discussed PAM and BLOSUM scoring matrices. At the end of the video you will be able to differentiate between PAM and BLOSUM. You will also have some idea about BLOSUM 62 and PAM. You can attempt the quiz by clicking on the link given below: docs.goo...
Global Sequence Alignment & Needleman-Wunsch || Algorithm and Example
Просмотров 157 тыс.4 года назад
Global Sequence Alignment & Needleman-Wunsch || Algorithm and Example In this video, we have discussed the types of common sequence alignment techniques used in Bioinformatics i.e Local alignment and Global alignment. We have also discussed the working of the Needleman-Wunsch algorithm and discussed how to do global sequence alignment with examples. VIDEOS THAT CAN HELP YOU TO UNDERSTAND THE TO...
Sequence Comparison
Просмотров 13 тыс.4 года назад
Sequence Comparison In this video, we have discussed the various terms used while comparing the sequences. We have discussed Match, Mismatch, Gap, Conservation, Deletion, Insertion, Substitution, Edit Distance, and Gap penalty in sequence comparison in bioinformatics. Gap opening and Gap closing penalties are also discussed in this video. Click in the link given below to attempt the quiz docs.g...
Sequence similarity and identity
Просмотров 24 тыс.4 года назад
This video is based on the differences between sequence Similarity and sequence identity in bioinformatics. This video would be helpful in differentiating sequence Similarity and Identity of dna and rna. Check our other videos, link is provided below: PAM matrix ruclips.net/video/2Yc2fVNTiH0/видео.html Scoring matrices: Basic concept of scoring matrix ruclips.net/video/uGhZygAMQik/видео.html Gl...
The concepts of Homology || HOMOLOGS, ANALOGS, ORTHOLOGS, PARALOGS, XENOLOGS, HOMEOLOGS
Просмотров 17 тыс.4 года назад
The concepts of Homology || HOMOLOGS, ANALOGS, ORTHOLOGS, PARALOGS, XENOLOGS, HOMEOLOGS In this video, we are going to have a brief idea about homologs, orthologs, paralogs, xenologs, homeologs, symparalogs, alloparalogs among others. CLICK IN THE LINK BELOW TO ATTEMPT THE QUIZ forms.gle/FCKpDCfpSzXVpLoz9 CLICK IN THE LINK BELOW TO DOWNLOAD THE POWERPOINT PRESENTATION OF THIS TOPIC drive.google...
Omgosh thank you! Simple and clear explanation!
Very helpful
Very helpful.Thank you 😊
Thank you best ever explanation so far 🥳🥳
Is the traceback step the same as the global sequence alignment?
Thanks
So so helpful, thank you so much
I was trying to understand it from the past few hours from ample of videos but this was the best one that explained the method very clearly and in an easy manner. Thanks a lot.
Thank u so much for biologist is very good explanation
THANK YOU SO MUCH!!! YOU'VE SAVED ME!!!
Thanks
Please upload more and detailed videos of topics ma'am. If possible
wtf is cij,bro dont even give the equation ?
I have learnt it from the first time, thank you
thank you so much sir!! great explanation!!
Needed some better explanation
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?
The best lecture I have watched on global alignment !
Please add more videos related to bioinformatics
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
very informative, helped a lot, thank you!
based on what we adding -2, -4, -6? to row and columns
Thank you sir,your teaching is so clear and good.
Excellent bro
Can you please tell me which software you are using for making these videos?
No the identical twins don't have identical gene sequence because their VNTR sequence would be different this could be proved by their fingerprint
No it's not important that identical twins have identical genes. they may have similar gene only for their physical properties (so they look similar).
❤ Crystal clear
Thank you sir for making the concept easier to understand. Please do make more videos.God bless u
thank you for your video. But I have a question: can I traceback according to the largest value, so it would be 2, 1, 0, 0, 1, 0 instead of 2, 1, 0, -1, 1, 0?
Same question
But according to this method you cannot go to 0 after 2,1,0 as it's a match (G and G) so you have to go diagonally, which is 2,1,0,-1. Note: here you can't go according to the highest value if the nucleotide sequence matches. If it doesn't match then you can go for the highest value.
GREAT first class 👍
Thank you.breif that easily
This is a great explanation, thank you so much sir.
⥊ 733: 799 0: Good (if not good, then not zero) 0001: Uniqueness 001: Identity 002: Individuality 003: Variability 004: Diversity 005: Tolerance / Inclusion 006: Acceptance 007: Consonance / Harmony 008: 009: Transcendence 01: Awareness 02: Diversion 03: Sensing 04: Love 05: Grace 06: Reasoning 07: Ingenuity 08: Purity 09: Truth Seeking 1: Ethical 2: Problem-Solution 3: Situation 4: Abstraction 5: Expression Concrete 6: Why/Who/When/How/Where/What 7: Information/Code 8: Stability 9: Sanity 10: Network (Good Network, because zero) 11: Justice 12: Time/Spread/Dissipation/Easter 13: Death / Fact 14: Cognition 15: Agent 16: Reason 17: Discourse 18: State 19: Discipline / Control 20: Judgement 21: To Solve Problems with Ethics 22: Resistance/Endure Introspection 23: Consideration 24: Humor / Mental State 25: Behavior 26: Motivation 27: Cohesion 28: Dependability 29: Prognostic 30: Liberty Subject Wellness 31: Consent 32: Discernment 33: Response 34: Ideas 35: Showing 36: Option 37: Opinion 38: Decision 39: Optimism 40: Wellness 41: Attention / Idea 42: Critical Thinking 43: Acknowledgment 44: Free Love 45: Plan / Task Force 46: Purpose 47: Perspective 48: Character 49: Ambition 50: Good Expression 51: Manifestation 52: Support 53: Respect 54: Care 55: Peace / War 56: Pointing / Profiling 57: Tell / Counter-Terrorism 58: Invoking / Building 59: Proficiency / To Excel 60: Certainty 61: Identification 62: Qualification / Characterization 63: Inquiring 64: Conjecturing 65: Function / Role 66: Investigation 67: Arguing 68: Indicator 69: Scrutinity 70: Validation 71: Illustration / Knowledge 72: Construct 73: Explanation / Informing 74: Data 75: Materialization 76: Delineation / Instruction 77: Flow / Cadency 78: Share 79: Accountability 80: Personal Soverenity 81: Independency Constancy 82: Resilience 83: Established 84: Autonomy 85: Executing 86: Authority 87: Stream 88: Consistency 89: Boldness 90: Wisdom 91: Assertiveness 92: Science 93: Scrupulousness 94: Integrality 95: Composure 96: Blockchain: ⥊ (TRACE MARKER) 97: Anarchy 98: Veganism 99: Revolution 100: Liberation 101: Space and Time Peer-2-Peer 102: Decentralized Network 103: Financial Revolution 104: Production Revolution 105: Labour Reorganization 106: Needs Evaluation 107: Instruction 108: Personal Sovereignty 109: Resources Availability 110: Frankness 111: Honor 112: Distributed Ledger 113: Privacy 114: Abolitionism 115: Pride 116: Justifiable 119: Mission 120: Harvest 121: To Revolt 122: To Sort Out 125: Differentiate 126: Distinguish 130: Realization 131: Fulfillment 132: Regard 133: Perform 134: Address 135: Execute 136: Obtain 138: To Mark 140: Serenity 141: Idea 144: To Notice 148: Mindfulness 150: Good Character 151: Virtue 155: Honesty 160: Technology 161: Communication Systems 166: Causality 167: To Label 170: Knowledge 185: System Accessibility 181: Structure 199: The Mission 200: Sanctuary 209: Enlist 210: Resolution 211: To Engage 212: Secure 215: Mobilize 219: Annihilation 220: Contemplation / Meditation 221: Either Way / Alignment 222: Cooperation 230: Resilience 250: To Thrive 255: To Emerge 266: Correlation 300: Crusade / Jihad 301: Confront 309: Consensus 310: Cell Net 311: Agreement 320: Deliberation 322: Oportunity 330: Win-Win Energy Management 333: Abundance 340: Abolitionism 355: 360: Technology 373: Remote Killing 370: Efficiency 390: Economicity 400: Earth Population 410: Permaculture 430: Ecosystem 440: Fellowship 444: Direct Digital Democracy 500: Assumption 501: Leadership 510: Admiration 511: Honorable 512: Altruism 520: Proficiency 530: Acceptance 535: Denoucing 540: Appreciation 550: Diplomacy 555: Gathering 556: To Pick Up Someone/Something 590: Excellency 600: Organizator 620: Diagnose 660: Operation 661: Operator 665: Role 666: Method 676: Deduce 700: Constitution 710: Intelligence 717: Desing 720: Quantum Mechanics 733: Argorithm Explaining 747: Artificial Intelligence 750: Consolidation 751: Enlightment 757: Prompt 766: Plan 770: The Gear 771: File 773: Algorithm Recoginzing 775: Output 777: Pattern / Rhetoric 778: Development 780: Systematization 799: Revolution Algorithm 800: Providence / Heroism 801: Production 802: Necessities 803: Resorces 804: Energy 808: Renewable Cycle 810: Permaculture 820: Management 830: Logistics 831: Scheme 832: Reach 833: Demand 834: Stock 835: Distribution 840: Consumption 850: Labor 860: Human Resources 863: Assignments 870: Structure 880: Peace 888: Globalization 890: Needs 899: Conception 900: Transparency 910: Institutions 911: Emergency Call 930: Energy Distribution 931: Only One Global Currency 960: Blockchain 962: Traceability 970: Optimination 990: Inspection 995: Accountancy 998: Regulation 999: Implementation 1000: Militancy 1001: Nova Era 1312: Boycott 1042: Drug Liberation 1100: Liberation Army 1160: Pacifism 1400: Unity 1500: Benevolence 1550: Charity 1807: Black & Yellow 2222: Paradox 3000: Freedom 3100: Triumph 3330: We All Can Live In Abundance 4000: Coexist 4411: Riders of Justice 5000: Glory 5500: Greatness 6999: Mystery 7220: Unified Field Theory 8000: Sustainability 8999: Finitude 9997: Discovery 9998: Unknown 9999: Universe 10000: Existence . This is a numeric Matrix for communications purposes. . This can be used to convey meaning. Ex.: 6022: Good Reason to Resist. . Mathematical operators can be used to calculate meaning. Ex.: To liberate with a good force: 340. 300 + 40 = 340. . Logical operators to create statements. Ex.: ¬11: 13. If not Justice then Death. . Colors can also be used as information. - You can help build it.
Best video i have ever watched❤thank you
You mentioned previous video 3 times in just 2.5 minutes
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
Your voice is really sweet☺
The explanation is so on point
Excellent illustration. But the accent is very hard for me to understand.
Behn thora explain b kr deti to mehrbani hoti👀 slides to me b read kr skti hu🙏
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.
simplest and clearest explanation of Needleman-Wunsch I have seen! Thank you!
Thank you so much for making this video... I really needed to understand this concept. it was really nice learning this way.
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 well explained..! But I wanna ask some question. Why do you add these digits - 2 , - 4 , - 6, - 8, - 10 & -2 , - 4, - 6 ,- 8 in First row and column respectively why do we need to add this zero These points are bit confusing please reply me..
Because this is the 1st rule. Before filling up a matrix you have to fill the first row and column by adding the given score of a gap penalty (which is -2 here) with 0. And the first one will always have to be 0.
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Thank you so much..
Thank you so much for such a wonderful explanation