Genome Sequencing (Bioinformatics II)

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课程主页: https://www.coursera.org/archive/genome-sequencing

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课程简介

University of California, San Diego

课程大纲

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: How Do We Assemble Genomes? (Graph Algorithms)
  2. How Do We Sequence Antibiotics? (Brute Force Algorithms)

Each of the two chapters of content in the class is accompanied by a Bioinformatics Cartoon created by talented San Diego artist Randall Christopher and serving as a chapter header in the Specialization's bestselling print companion. You can find the first chapter's cartoon at the bottom of this message. What does a time machine trip to 1735, a stack of newspapers, a jigsaw puzzle, and a giant ant invading a riverside city have to do with putting together a genome? Start learning today to find out!

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课程详情

You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome? Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. In the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome as you would read a book from beginning to end. However, they can read shorter fragments of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces in what amounts to the largest jigsaw puzzle ever put together. In the second half of the course, we will discuss antibiotics, a topic of great relevance as antimicrobial-resistant bacteria like MRSA are on the rise. You know antibiotics as drugs, but on the molecular level they are short mini-proteins that have been engineered by bacteria to kill their enemies. Determining the sequence of amino acids making up one of these antibiotics is an important research problem, and one that is similar to that of sequencing a genome by assembling tiny fragments of DNA. We will see how brute force algorithms that try every possible solution are able to identify naturally occurring antibiotics so that they can be synthesized in a lab. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance.

基因组测序(生物信息学II):您可能听说过很多有关基因组测序及其在个性化医学时代的潜力,但是对基因组进行测序意味着什么? 就像您从头到尾读一本书一样,生物学家仍然无法读取整个基因组的核苷酸。但是,他们可以读取DNA的短片段。在本课程中,我们将了解如何使用图论从这些短片段组装基因组。我们将进一步了解蛮力算法,并将其应用于测序称为抗生素的微型蛋白质。 在课程的前半部分,我们将看到生物学家无法阅读人类基因组的30亿个核苷酸,就像您从头到尾读一本书一样。但是,他们可以读取较短的DNA片段。在本课程中,我们将看到图论如何用于从这些短片段组装基因组,这相当于有史以来最大的拼图游戏。 在课程的下半部分,我们将讨论抗生素,因为MRSA等抗微生物耐药性细菌正在增加,因此与抗生素相关性很高。您知道抗生素是药物,但在分子水平上,它们是由细菌改造而成的可杀死敌人的短小蛋白。确定构成这些抗生素之一的氨基酸序列是一个重要的研究问题,这与通过组装微小的DNA片段进行基因组测序相似。我们将看到尝试所有可能解决方案的暴力算法如何能够识别天然存在的抗生素,以便可以在实验室中合成它们。 最后,您将学习如何使用流行的生物信息学软件工具来对已经获得抗生素抗性的致命葡萄球菌细菌的基因组进行测序。

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