Informações sobre o curso
4.5
35 classificações
6 avaliações

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 18 horas para completar

Sugerido: 3 hours/week...

Inglês

Legendas: Inglês

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 18 horas para completar

Sugerido: 3 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
4 horas para concluir

Week 1: Introduction to Read Mapping

<p>Welcome to our class! We are glad that you decided to join us.</p><p>In this class, we will consider the following two central biological&nbsp;questions (the computational approaches needed to solve them are shown in parentheses):</p><ol><li>How Do We Locate Disease-Causing Mutations? (<em>Combinatorial Pattern Matching</em>)</li><li>Why Have Biologists Still Not Developed an HIV Vaccine?&nbsp;(<em>Hidden Markov Models</em>)</li></ol><p>As in previous courses, each of these two chapters is accompanied by a Bioinformatics Cartoon created by talented artist Randall Christopher and serving as a chapter header in the Specialization's bestselling <a href="http://bioinformaticsalgorithms.com" target="_blank">print companion</a>. You can find the first chapter's cartoon at the bottom of this message. </p><p><img src="https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" title="Image: https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" width="528"></p>...
4 vídeos (total de (Total 33 mín.) min), 2 leituras, 3 testes
4 videos
Why Do We Map Reads? 7min
Using the Trie 10min
From a Trie to a Suffix Tree 11min
2 leituras
Course Details10min
Week 1 FAQs (Optional)
1 exercício prático
How Do We Find Disease-Causing Mutations? (Week 1)15min
Semana
2
4 horas para concluir

Week 2: The Burrows-Wheeler Transform

<p>Welcome to week 2 of the class!</p> <p>This week, we will introduce a paradigm called the Burrows-Wheeler transform; after seeing how it can be used in string compression, we will demonstrate that it is also the foundation of modern read-mapping algorithms.</p>...
3 vídeos (total de (Total 21 mín.) min), 1 leitura, 2 testes
3 videos
Inverting Burrows-Wheeler 13min
Using Burrows-Wheeler for Pattern Matching 2min
1 leituras
Week 2 FAQs (Optional)
Semana
3
4 horas para concluir

Week 3: Speeding Up Burrows-Wheeler Read Mapping

<p>Welcome to week 3 of class!</p> <p>Last week, we saw how the Burrows-Wheeler transform could be applied to multiple pattern matching. This week, we will speed up our algorithm and generalize it to the case that patterns have errors, which models the biological problem of mapping reads with errors to a reference genome.</p>...
4 vídeos (total de (Total 22 mín.) min), 1 leitura, 3 testes
4 videos
Setting Up Checkpoints 8min
Inexact Matching 6min
Further Applications of Read Mapping 2min
1 leituras
Week 3 FAQs (Optional)
1 exercício prático
How Do We Find Disease-Causing Mutations? (Weeks 2-3)20min
Semana
4
1 hora para concluir

Week 4: Introduction to Hidden Markov Models

<p>Welcome to week 4 of class!</p> <p>This week, we will start examining the case of aligning sequences with many mutations -- such as related genes from different HIV strains -- and see that our problem formulation for sequence alignment is not adequate for highly diverged sequences.</p> <p>To improve our algorithms, we will introduce a machine-learning paradigm called a hidden Markov model and see how dynamic programming helps us answer questions about these models.</p>...
5 vídeos (total de (Total 42 mín.) min), 1 leitura, 1 teste
5 videos
Gambling with Yakuza 12min
From a Crooked Casino to a Hidden Markov Model 9min
The Decoding Problem 5min
The Viterbi Algorithm 7min
1 leituras
Note on This Week's Content10min
4.5
6 avaliaçõesChevron Right

Melhores avaliações

por TKJun 29th 2016

One of the best specialization on Coursera. Highly recommended for anyone who wants to apply his/her programming skills to fascinating real-world problems.

por DCSep 16th 2018

Really enjoyed this course. It was great to get to build on work from previous courses.

Instrutores

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Pavel Pevzner

Professor
Department of Computer Science and Engineering
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Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

Sobre Universidade da Califórnia, San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

Sobre o Programa de cursos integrados Bioinformática

Join Us in a Top 50 MOOC of All Time! How do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth? When you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science. Although this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an "Honors Track" (called "hacker track" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional! Learn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video. You can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website. Our first course, "Finding Hidden Messages in DNA", was named a top-50 MOOC of all time by Class Central!...
Bioinformática

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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