このコースについて
4,173 最近の表示

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

約18時間で修了

英語

字幕:英語

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

約18時間で修了

英語

字幕:英語

シラバス - 本コースの学習内容

1
4時間で修了

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件のビデオ (合計33分), 2 readings, 3 quizzes
4件のビデオ
Why Do We Map Reads? 7 分
Using the Trie 10 分
From a Trie to a Suffix Tree 11 分
2件の学習用教材
Course Details10 分
Week 1 FAQs (Optional)
1の練習問題
How Do We Find Disease-Causing Mutations? (Week 1)15 分
2
4時間で修了

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件のビデオ (合計21分), 1 reading, 2 quizzes
3件のビデオ
Inverting Burrows-Wheeler 13 分
Using Burrows-Wheeler for Pattern Matching 2 分
1件の学習用教材
Week 2 FAQs (Optional)
3
4時間で修了

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件のビデオ (合計22分), 1 reading, 3 quizzes
4件のビデオ
Setting Up Checkpoints 8 分
Inexact Matching 6 分
Further Applications of Read Mapping 2 分
1件の学習用教材
Week 3 FAQs (Optional)
1の練習問題
How Do We Find Disease-Causing Mutations? (Weeks 2-3)20 分
4
1時間で修了

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件のビデオ (合計42分), 1 reading, 1 quiz
5件のビデオ
Gambling with Yakuza 12 分
From a Crooked Casino to a Hidden Markov Model 9 分
The Decoding Problem 5 分
The Viterbi Algorithm 7 分
1件の学習用教材
Note on This Week's Content10 分
4.6
6件のレビューChevron Right

人気のレビュー

by 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.

by DCSep 16th 2018

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

講師

Avatar

Pavel Pevzner

Professor
Department of Computer Science and Engineering
Avatar

Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

カリフォルニア大学サンディエゴ校について

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....

バイオインフォマティクスの専門講座について

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!...
バイオインフォマティクス

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