Finding Hidden Messages in DNA (Bioinformatics I)

课程
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英语
50 时
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  • 来自www.coursera.org
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  • 5 序列
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课程详情

教学大纲

  • Week 1 - Week 1: Welcome!

    Welcome to class!

    This course will focus on two questions at the forefront of modern computational biology, along with the algorithmic approaches we will use to solve them in parentheses:

    1. Weeks 1-2: Where in the Genome Does DNA Replication ...
    2. Week 2 - Week 2: Finding Replication Origins

      Welcome to Week 2 of class!

      This week, we will examine the biological details of how DNA replication is carried out in the cell. We will then see how to use these details to help us design an intelligent algorithmic approach looking for the replica...

    3. Week 3 - Week 3: Hunting for Regulatory Motifs

      Welcome to Week 3 of class!

      This week, we begin a new chapter, titled "Which DNA Patterns Play the Role of Molecular Clocks?" At the bottom of this message is this week's Bioinformatics Cartoon.  What does a late night casino trip with two 18th...

    4. Week 4 - Week 4: How Rolling Dice Helps Us Find Regulatory Motifs

      Welcome to Week 4 of class!

      Last week, we encountered a few introductory motif-finding algorithms. This week, we will see how to improve upon these motif-finding approaches by designing randomized algorithms that can "roll dice" to find motifs.

    5. Week 5 - Week 5: Bioinformatics Application Challenge
      Welcome to week 5 of the class!This week, we will apply popular motif-finding software in order to hunt for motifs in a real biological dataset.

先决条件

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讲师

Pavel Pevzner
Professor
Department of Computer Science and Engineering

Phillip Compeau
Visiting Researcher
Department of Computer Science & Engineering

编辑

加州大学圣地亚哥分校是位于加利福尼亚州圣地亚哥的一所公立赠地研究型大学。加州大学圣地亚哥分校成立于 1960 年,位于斯克里普斯海洋学研究所附近,是加州大学十个校区中最南端的一个,提供 200 多个本科和研究生学位课程,在校本科生 33,096 人,研究生 9,872 人。

加州大学圣地亚哥分校被认为是世界上最好的大学之一。多份出版物将加州大学圣地亚哥分校的生物科学系和计算机科学系评为世界前十名。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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