Bioinformatics Capstone: Big Data in Biology

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课程主页: https://www.coursera.org/archive/bioinformatics-project

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课程简介

University of California, San Diego

课程大纲

In this week's Application Challenge, we will learn how RNA-Sequencing can be applied to perform tissue-level gene expression analysis. In particular, which is more similar on a gene expression level: different tissues from the same organism, or analogous tissues from related species? This question was the subject of recent debate and a Twitter controversy -- read more to find out!

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课程详情

In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample. Plus, hacker track students will have the option to build their own genome assembler and apply it to real data!

生物信息学的顶点:生物学中的大数据:在本课程中,您将学习如何使用Illumina(我们的行业合作伙伴)开发的BaseSpace云平台将几种标准生物信息学软件方法应用于真实的生物数据。 特别是,在一系列“应用挑战”中,将看到如何使用基因组装配来追踪食物中毒暴发的来源,RNA测序如何帮助我们在组织水平上分析基因表达数据,并比较其优缺点。全基因组与全外显子组测序,用于在人类样品中发现潜在有害的突变。 此外,黑客跟踪课程的学生将可以选择构建自己的基因组组装器,并将其应用于真实数据!

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