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Курс Bioinformatics Algorithms
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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