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Bioinformatics @ TU Delft ★ 0.000

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Journey to the frontier of computational Biology. Master bioinformatics software and computational approaches in modern biology.

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Значение 🏆 Рейтинг 3 дн 7 дн 30 дн
Количество учеников на курсе «Bioinformatics @ TU Delft»Учеников на курсе 92
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Рейтинг курса «Bioinformatics @ TU Delft»Рейтинг курса 0.000
Уроки в курсе «Bioinformatics @ TU Delft»Количество уроков 213
Тесты в курсе «Bioinformatics @ TU Delft»Количество квизов 45
Задачи с кодом в курсе «Bioinformatics @ TU Delft»Количество задач с кодом 126
Время прохождения курса «Bioinformatics @ TU Delft»Время прохождения курса —
Стоимость курса «Bioinformatics @ TU Delft»Стоимость курса 70 ₽ —
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Содержание курса

Разделы в курсе «Bioinformatics @ TU Delft» 11 разделов Уроки в курсе «Bioinformatics @ TU Delft» 213 уроков Тесты в курсе «Bioinformatics @ TU Delft» 45 тестов Задачи в курсе «Bioinformatics @ TU Delft» 126 задач Время прохождения курса «Bioinformatics @ TU Delft» 145 ч. Последнее обновление курса «Bioinformatics @ TU Delft» обн. 2 года назад

Where in the Genome Does Replication Begin?

17 уроков
1. A Journey of a Thousand Miles. . . ↗
2. Hidden Messages in the Replication Origin ↗
3. Some Hidden Messages are More Surprising than Others ↗
4. An Explosion of Hidden Messages ↗
5. The Simplest Way to Replicate DNA ↗
6. Asymmetry of Replication ↗
7. Peculiar Statistics of the Forward and Reverse Half-Strands ↗
8. Some Hidden Messages are More Elusive than Others ↗
9. A Final Attempt at Finding DnaA Boxes in E. coli ↗
10. Epilogue: Complications in ori Predictions ↗
11. CS: Generating the Neighborhood of a String ↗
12. Detour: Big-O Notation ↗
13. Detour: Probabilities of Patterns in a String ↗
14. Detour: The Most Beautiful Experiment in Biology ↗
15. Detour: Directionality of DNA Strands ↗
16. Detour: The Towers of Hanoi ↗
17. Detour: The Overlapping Words Paradox ↗

Which DNA Patterns Play the Role of Molecular Clocks?

17 уроков
1. Do We Have a "Clock" Gene? ↗
2. Motif Finding Is More Difficult Than You Think ↗
3. Scoring Motifs ↗
4. From Motif Finding to Finding a Median String ↗
5. Greedy Motif Search ↗
6. Motif Finding Meets Oliver Cromwell ↗
7. Randomized Motif Search ↗
8. How Can a Randomized Algorithm Perform So Well? ↗
9. Gibbs Sampling ↗
10. Gibbs Sampling in Action ↗
11. Epilogue: How Does Tuberculosis Hibernate? ↗
12. CS: Solving the Median String Problem ↗
13. Detour: Gene Expression ↗
14. Detour: DNA Arrays ↗
15. Detour: Buffon's Needle ↗
16. Detour: Complications in Motif Finding ↗
17. Detour: Relative entropy ↗

How Do We Assemble Genomes?

23 урока
1. Exploding Newspapers ↗
2. The String Reconstruction Problem ↗
3. String Reconstruction as a Walk in the Overlap Graph ↗
4. Another Graph for String Reconstruction ↗
5. Walking in the de Bruijn Graph ↗
6. The Seven Bridges of Königsberg ↗
7. Euler's Theorem ↗
8. From Euler's Theorem to an Algorithm for Finding Eulerian Cycles ↗
9. Assembling Genomes from Read-Pairs ↗
10. Epilogue: Genome Assembly Faces Real Sequencing Data ↗
11. CS: The Effect of Gluing on the Adjacency Matrix ↗
12. CS: Generating All Eulerian Cycles ↗
13. CS: Reconstructing a String from the Paired de Bruijn Graph ↗
14. CS: Maximal Non-Branching Paths in a Graph ↗
15. Detour: A Short History of DNA Sequencing Technologies ↗
16. Detour: Repeats in the Human Genome ↗
17. Detour: An Introduction to Graphs ↗
18. Detour: Hamilton's Icosian Game ↗
19. Detour: Tractable and Intractable Problems ↗
20. Detour: From Euler to Hamilton to de Bruijn ↗
21. Detour: The Seven Bridges of Kaliningrad ↗
22. Detour: The BEST Theorem ↗
23. Detour: Pitfalls of assembling double-stranded DNA ↗

How Do We Sequence Antibiotics?

20 уроков
1. The Discovery of Antibiotics ↗
2. How Do Bacteria Make Antibiotics? ↗
3. Dodging the Central Dogma of Molecular Biology ↗
4. Sequencing Antibiotics by Shattering Them into Pieces ↗
5. A Brute Force Algorithm for Cyclopeptide Sequencing ↗
6. A Branch-and-Bound Algorithm for Cyclopeptide Sequencing ↗
7. Mass Spectrometry Meets Golf ↗
8. From 20 to More than 100 Amino Acids ↗
9. The Spectral Convolution Saves the Day ↗
10. Epilogue: From Simulated to Real Spectra ↗
11. CS: Generating the Theoretical Spectrum of a Peptide ↗
12. CS: How Fast is CyclopeptideSequencing? ↗
13. CS: Trimming the Peptide Leaderboard ↗
14. Detour: Gause and Lysenkoism ↗
15. Detour: The Discovery of Codons ↗
16. Detour: Quorum Sensing ↗
17. Detour: Molecular Mass ↗
18. Detour: Selenocysteine and Pyrrolysine ↗
19. Detour: Pseudo-polynomial Algorithm for the Turnpike Problem ↗
20. Detour: Split genes ↗

How Do We Compare Biological Sequences?

20 уроков
1. Cracking the Non-Ribosomal Code ↗
2. Introduction to Sequence Alignment ↗
3. The Manhattan Tourist Problem ↗
4. Sequence Alignment is the Manhattan Tourist Problem in Disguise ↗
5. An Introduction to Dynamic Programming: The Change Problem ↗
6. The Manhattan Tourist Problem Revisited ↗
7. From Manhattan to an Arbitrary DAG ↗
8. Backtracking in the Alignment Graph ↗
9. Scoring Alignments ↗
10. From Global to Local Alignment ↗
11. The Changing Faces of Sequence Alignment ↗
12. Penalizing Insertions and Deletions in Sequence Alignment ↗
13. Space-Efficient Sequence Alignment ↗
14. Epilogue: Multiple Sequence Alignment ↗
15. Detour: Fireflies and the Non-Ribosomal Code ↗
16. Detour: Finding an LCS without Building a City ↗
17. Detour: Constructing a Topological Ordering ↗
18. Detour: PAM Scoring Matrices ↗
19. Detour: Divide-and-Conquer Algorithms ↗
20. Detour: Scoring Multiple Alignments ↗

Are There Fragile Regions in the Human Genome?

18 уроков
1. Of Mice and Men ↗
2. The Random Breakage Model of Chromosome Evolution ↗
3. Sorting by Reversals ↗
4. A Greedy Algorithm for Sorting by Reversals ↗
5. Breakpoints ↗
6. Rearrangements in Tumor Genomes ↗
7. From Unichromosomal to Multichromosomal Genomes ↗
8. Breakpoint Graphs ↗
9. Computing the 2-Break Distance ↗
10. Rearrangement Hotspots in the Human Genome ↗
11. Epilogue: Synteny Block Construction ↗
12. CS: From Genomes to the Breakpoint Graph ↗
13. CS: Solving the 2-Break Sorting Problem ↗
14. Detour: Why is the Gene Content of X Chromosomes So Conserved? ↗
15. Detour: Discovery of Genome Rearrangements ↗
16. Detour: The Exponential Distribution ↗
17. Detour: Bill Gates and David X. Cohen Flip Pancakes ↗
18. Detour: Sorting Linear Permutations by Reversals ↗

Which Animal Gave Us SARS?

19 уроков
1. The Fastest Outbreak ↗
2. Transforming Distance Matrices into Evolutionary Trees ↗
3. Toward An Algorithm for Distance-Based Phylogeny Construction ↗
4. Additive Phylogeny ↗
5. Using Least Squares to Construct Approximate Phylogenies ↗
6. Ultrametric Evolutionary Trees ↗
7. The Neighbor-Joining Algorithm ↗
8. Character-Based Tree Reconstruction ↗
9. The Small Parsimony Problem ↗
10. The Large Parsimony Problem ↗
11. Epilogue: Evolutionary Trees Fight Crime ↗
12. Detour: When Did HIV Jump from Primates to Humans? ↗
13. Detour: Searching for a Tree Fitting a Distance Matrix ↗
14. Detour: The Four Point Condition ↗
15. Detour: Did Bats Give Us SARS? ↗
16. Detour: Why Does the Neighbor-Joining Algorithm Work? ↗
17. Detour: Computing Limb Lengths in the Neighbor-Joining Algorithm ↗
18. Detour: Giant Panda: Bear or Raccoon? ↗
19. Detour: Where Did Humans Come From? ↗

How Did Yeast Become a Wine Maker?

21 урок
1. An Evolutionary History of Wine-Making ↗
2. Identifying Genes Responsible for the Diauxic Shift ↗
3. Introduction to Clustering ↗
4. The Good Clustering Principle ↗
5. Clustering as an Optimization Problem ↗
6. Farthest First Traversal ↗
7. k-Means Clustering ↗
8. The Lloyd Algorithm ↗
9. Clustering Genes Implicated in the Diauxic Shift ↗
10. Limitations of k-means Clustering ↗
11. From Coin Flipping to k-Means Clustering ↗
12. Making Soft Decisions in Coin Flipping ↗
13. Soft k-Means Clustering ↗
14. Hierarchical Clustering ↗
15. Epilogue: Clustering Tumor Samples ↗
16. Detour: Whole Genome Duplication or a Series of Duplications? ↗
17. Detour: Measuring Gene Expression ↗
18. Detour: Microarrays ↗
19. Detour: Proof of the Center of Gravity Theorem ↗
20. Detour: Gene Expression Matrix to a Distance/Similarity Matrix ↗
21. Detour: Clustering and Corrupted Cliques ↗

How Do We Locate Disease-Causing Mutations?

22 урока
1. What Causes Ohdo Syndrome? ↗
2. Introduction to Multiple Pattern Matching ↗
3. Herding Patterns into a Trie ↗
4. Preprocessing the Genome Instead ↗
5. Suffix Trees ↗
6. Suffix Arrays ↗
7. The Burrows-Wheeler Transform ↗
8. A First Attempt at Inverting the Burrows-Wheeler Transform ↗
9. The First-Last Property and Burrows-Wheeler Inversion ↗
10. Pattern Matching with the Burrows-Wheeler Transform ↗
11. Speeding Up Burrows-Wheeler Pattern Matching ↗
12. Where are the Matched Patterns? ↗
13. Burrows and Wheeler Set Up Checkpoints ↗
14. Epilogue: Mismatch-Tolerant Read Mapping ↗
15. CS: Constructing a Suffix Tree ↗
16. CS: Solving the Longest Shared Substring Problem ↗
17. CS: Partial Suffix Array Construction ↗
18. Detour: The Reference Human Genome ↗
19. Detour: Rearrangements, Insertions, & Deletions in Human Genomes ↗
20. Detour: The Aho-Corasick Algorithm ↗
21. Detour: Suffix Arrays and Suffix Trees ↗
22. Detour: Binary Search ↗

Why Have Biologists Still Not Developed an HIV Vaccine?

18 уроков
1. Classifying the HIV Phenotype ↗
2. Gambling with Yakuza ↗
3. Two Coins Up the Dealer's Sleeve ↗
4. Finding CG-Islands ↗
5. Hidden Markov Models ↗
6. The Decoding Problem ↗
7. Finding the Most Likely Outcome of an HMM ↗
8. Profile HMMs for Sequence Alignment ↗
9. Classifying Proteins with Profile HMMs ↗
10. Learning the Parameters of an HMM ↗
11. Soft Decisions in Parameter Estimation ↗
12. Baum-Welch Learning ↗
13. The Many Faces of HMMs ↗
14. Epilogue: Nature is a Tinkerer and not an Inventor ↗
15. Detour: The Red Queen Effect ↗
16. Detour: Glycosylation ↗
17. Detour: DNA Methylation ↗
18. Detour: Conditional Probability ↗

Was T. rex Just a Big Chicken?

18 уроков
1. Paleontology Meets Computing ↗
2. Which Proteins are Present in this Sample? ↗
3. Decoding an Ideal Spectrum ↗
4. From Ideal to Real Spectra ↗
5. Peptide Sequencing ↗
6. Peptide Identification ↗
7. Peptide Identification and the Infinite Monkey Theorem ↗
8. Spectral Dictionaries ↗
9. T. rex Peptides: Contaminants or Ancient Treasure Trove? ↗
10. Epilogue: From Unmodified to Modified Peptides (Part 1) ↗
11. Epilogue: From Unmodified to Modified Peptides (Part 2) ↗
12. Detour: Gene Prediction ↗
13. Detour: Finding All Paths in a Graph ↗
14. Detour: The Anti-Symmetric Path Problem ↗
15. Detour: Transforming Spectra into Spectral Vectors ↗
16. Detour: The Infinite Monkey Theorem ↗
17. Detour: The Probabilistic Space of Peptides in a Dictionary ↗
18. Detour: Are Terrestrial Dinosaurs Really the Ancestors of Birds? ↗