Bioconductor for Genomic Data Science
link 来源:www.coursera.org
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Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.

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课程大纲

  • Week 1 - Week One
    The class will cover how to install and use Bioconductor software. We will discuss common data structures, including ExpressionSets, SummarizedExperiment and GRanges used across several types of analyses.
  • Week 2 - Week Two
    In this week we will learn how to represent and compute on biological sequences, both at the whole-genome level and at the level of millions of short reads.
  • Week 3 - Week Three
    In this week we will cover Basic Data Types, ExpressionSet, biomaRt, and R S4.
  • Week 4 - Week Four
    In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi
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教师

Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health

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Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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平台

Coursera

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。

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