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Bioinformatics Algorithms: An Active Learning Approach
United States
Registrace 2. 01. 2014
The lectures accompanying Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau and Pavel Pevzner. Copyright 2013. All rights reserved.
Toward a Computational Problem for Genome Sequencing
The Art of Problem Formulation Part 5/5. We demonstrate how difficult computational problem formulation is by emulating an example of trying to formulate a computational problem for genome sequencing.
zhlédnutí: 5 268
Video
Genome Sequencing Meets Alice
zhlédnutí 3,1KPřed 5 lety
The Art of Problem Formulation Part 4/5. We try to find a computational problem formulation for genome sequencing. To do so, we imagine a brilliant computer scientist named Alice who has not studied biology in many years if we can give her a well-formulated computational problem, she can help us. We learn how difficult it is to formulate a problem without using jargon or trying to design an alg...
A Killer Bacterial Strain
zhlédnutí 2,6KPřed 5 lety
The Art of Problem Formulation Part 3/5. A deadly E. coli outbreak spreads across Europe, but what is its cause? Next, how can we determine the sequence of the harmful strain and determine how it became pathogenic? We note that sequencing a genome is much like assembling many fragments of DNA from the same source into a contiguous sequence.
Waiting for an HIV Vaccine
zhlédnutí 3,7KPřed 5 lety
The Art of Problem Formulation Part 2/5. We see that HIV is such a difficult disease to vaccinate against because it consists of multiple different subtypes. How can we differentiate different strains of HIV based on their genomes? We need accurate methods of aligning the proteins. We will soon see how Hidden Markov Models can be applied to solve this problem.
The Air Force Secret Report
zhlédnutí 4,9KPřed 5 lety
The Art of Problem Formulation Part 1/5. We see how important problem formulation is by introducing a practical example of "interdiction", or cutting off a supply network by removing as little capacity from the network as possible. We see that this "minimum cut" is an abstract problem that is identical to identifying the maximum amount of "flow" that we can pass through a network. The idea of f...
Introduction to "Genome Sequencing"
zhlédnutí 6KPřed 8 lety
Please join us for the second course in the Bioinformatics Specialization! coursera.org/specializations/bioinformatics
Introduction to "Molecular Evolution"
zhlédnutí 7KPřed 8 lety
Please join us for the fourth course in the Bioinformatics Specialization! coursera.org/specializations/bioinformatics
Introduction to "Comparing Genes, Proteins, and Genomes"
zhlédnutí 3,2KPřed 8 lety
Please join us for the third course in the Bioinformatics Specialization! coursera.org/specializations/bioinformatics
Introduction to "Finding Mutations in DNA and Proteins"
zhlédnutí 2,4KPřed 8 lety
Please join us for the sixth course in the Bioinformatics Specialization! coursera.org/specializations/bioinformatics
Introduction to "Genomic Data Science and Clustering"
zhlédnutí 7KPřed 8 lety
Please join us for the fifth course in the Bioinformatics Specialization! coursera.org/specializations/bioinformatics
Introduction to "Finding Hidden Messages in DNA"
zhlédnutí 6KPřed 8 lety
Please join us for the first course in the Bioinformatics Specialization! coursera.org/specializations/bioinformatics
Welcome to the Bioinformatics Specialization!
zhlédnutí 87KPřed 9 lety
Interested in learning how computers are used to solve problems on the frontier of modern biology? Join us for the Bioinformatics Specialization! coursera.org/specializations/bioinformatics If you're busy and on-the-go, you might like to check out our bestselling print companion instead (bioinformaticsalgorithms.org), or subscribe to our CZcams channel!
From Implanted Patterns to Regulatory Motifs (Part 2)
zhlédnutí 12KPřed 9 lety
Enjoy what you see? Check out our textbook website at bioinformaticsalgorithms.org. This is Part 2 of 6 of a series of lectures on "Which DNA Patterns Play the Role of Molecular Clocks?" covering Chapter 2 of Bioinformatics Algorithms: An Active Learning Approach, by Phillip Compeau and Pavel Pevzner.
Spectral Alignment Algorithm
zhlédnutí 2,6KPřed 9 lety
Enjoy what you see? Check out our textbook website at bioinformaticsalgorithms.org. This is Part 9 of 9 of a series of lectures on "Was T. rex Just a Big Chicken?" covering Chapter 11 of Bioinformatics Algorithms: An Active Learning Approach, by Phillip Compeau and Pavel Pevzner.
Searching for Post-Translational Modifications
zhlédnutí 1,1KPřed 9 lety
Enjoy what you see? Check out our textbook website at bioinformaticsalgorithms.org. This is Part 8 of 9 of a series of lectures on "Was T. rex Just a Big Chicken?" covering Chapter 11 of Bioinformatics Algorithms: An Active Learning Approach, by Phillip Compeau and Pavel Pevzner.
Classifying Proteins with Profile HMMs
zhlédnutí 10KPřed 9 lety
Classifying Proteins with Profile HMMs
From a Crooked Casino to a Hidden Markov Model
zhlédnutí 10KPřed 9 lety
From a Crooked Casino to a Hidden Markov Model
I loved this video! :D
I disagree. It very entertaining
where do I obtain expression matrices?
wind sound is too high
Nice hand gestures and tone of voice Sean!
Very useful. Thx!
Very helpful! Thank you!
I have to say the instructor's body motion is too much and distracting.☹
I really like this series, every video explains the concept visually and in a tangible manner thank you, now i have developed a visual understanding of the concept of backtracking and dynamic programming;
Nice explanation, i will certainly remember the free taxi rides
I can not get what are the red lines between bases. They do not represent the base pairing then what ?
They just indicate mismatch between pattern and string
Thank you for this series
8 years have passed, and this has remained gold. Surprised to see all these people in the comments now tho... hope y'all arent stealing my dissertation haha
This is the best HMM explanation i've ever seen. With the best graphics also
Corona virus🐧
Great explanation!
wait, he is talking about corona virus before 5 years of covid pandemic. He is from future
i am
@@PhillipCompeauPhD 😂
Can you explain to me about how D*, this formula is build? How you can find this formula (D*)?
I thik at 10:50 the s1 and s3 score is wrong. It would be 3 compared to others.
In 4:52 is it the correct alignment?? Because we can match better than it is mentioned.
bro why are you so nervous? we are not judging you at all.
I Just love the " quite not as mad..." not as is an awsome way to putbit. Just love it hope tonenroll to their course
in here do we form the motif matrix randomly too? or else how do we form the motifs matrix just by? please reply
Hmmm...
Good explanation
Patience has left the chat
amazing
very interesting