Genomic-Data-Science-Specialization:基因组数据科学专业化有助于学习基因组数据科学，包括Pyt...

Course Description ``` This course introduces you to the basic biology of modern genomics and the experimental tools used to measure this biology. It will cover how next-generation sequencing (NGS) technology is used to "read" DNA or RNA, which in turn creates the data that provides the raw material for genome analysis. The course will also give a brief introduction to key concepts in computing and statistics that you will need to understand how NGS data are analyzed. ``` <br> Course Content <br><br> <b>Introduction</b> ``` Why genomics? What is genomics? What is computational genomics? Overview of the Genomic Big Data Specialization What are our MOOCs? ``` <b>Molecular Biology</b> ``` Just enough molecular biology The genome Writing a DNA sequence Central dogma Transcription Translation DNA structure and modifications ``` <b>Measurement Technology</b> ``` Next generation sequencing Applications of sequencing ``` <b>Computing Technology</b> ``` What is computer science? Algorithms Memory and data structures Efficiency Software engineering What is computational biology software? ``` <b>Data Science Technology</b> ``` What is reproducibility? Methods, software, analysis and applications Why you should care about statistics Types of genomics analysis questions The central dogma of inference What is analysis code? Testing Multiple testing The central dogma of prediction Types of variation in genomics Experimental design Confounding Power and sample size Correlation and causation Researcher degrees of freedom ```