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Курс Bioinformatics Algorithms
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Bioinformatics Algorithms ★ 0.000

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https://class.coursera.org/bioinformatics-002

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Количество учеников на курсе «Bioinformatics Algorithms»Учеников на курсе 13 017
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Рейтинг курса «Bioinformatics Algorithms»Рейтинг курса 0.000
Уроки в курсе «Bioinformatics Algorithms»Количество уроков 118
Тесты в курсе «Bioinformatics Algorithms»Количество квизов 43
Задачи с кодом в курсе «Bioinformatics Algorithms»Количество задач с кодом 79
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Содержание курса

Разделы в курсе «Bioinformatics Algorithms» 6 разделов Уроки в курсе «Bioinformatics Algorithms» 118 уроков Тесты в курсе «Bioinformatics Algorithms» 43 теста Задачи в курсе «Bioinformatics Algorithms» 79 задач Время прохождения курса «Bioinformatics Algorithms» 84 ч. Последнее обновление курса «Bioinformatics Algorithms» обн. 1 год назад

Where in the Genome Does DNA Replication Begin?

23 урока
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: The Frequency Array ↗
12. CS: Converting Patterns to Numbers and Vice-Versa ↗
13. CS: Finding Frequent Words by Sorting ↗
14. CS: Solving the Clump Finding Problem ↗
15. CS: Solving the Frequent Words with Mismatches Problem ↗
16. CS: Generating the Neighborhood of a String ↗
17. CS: Finding Frequent Words with Mismatches by Sorting ↗
18. Detour: Big-O Notation ↗
19. Detour: Probabilities of Patterns in a String ↗
20. Detour: The Most Beautiful Experiment in Biology ↗
21. Detour: Directionality of DNA Strands ↗
22. Detour: The Towers of Hanoi ↗
23. 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?

20 уроков
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: Reconstructing a String from the Paired de Bruijn Graph ↗
13. CS: Maximal Non-Branching Paths in a Graph ↗
14. Detour: A Short History of DNA Sequencing Technologies ↗
15. Detour: Repeats in the Human Genome ↗
16. Detour: An Introduction to Graphs ↗
17. Detour: Hamilton's Icosian Game ↗
18. Detour: Tractable and Intractable Problems ↗
19. Detour: From Euler to Hamilton to de Bruijn ↗
20. Detour: The Seven Bridges of Kaliningrad ↗

How Do We Sequence Antibiotics?

19 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 ↗

How Do We Compare Biological Sequences?

21 урок
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: The Towers of Hanoi ↗
17. Detour: Finding an LCS without Building a City ↗
18. Detour: Constructing a Topological Ordering ↗
19. Detour: PAM Scoring Matrices ↗
20. Detour: Divide-and-Conquer Algorithms ↗
21. 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 ↗