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细菌基因组:获取和分析微生物基因组数据 | MOOC中国 - 慕课改变你,你改变世界

细菌基因组:获取和分析微生物基因组数据

Bacterial Genomes: Accessing and Analysing Microbial Genome Data

Learn more about how genomic data and computational tools can help us understand and track disease-causing bacteria.

1235 次查看
惠康基因组校园高级课程和科学会议
FutureLearn
  • 完成时间大约为 3
  • 初级
  • 英语
注:本课程由FutureLearn和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Collect, access, and download whole bacterial genomes from public repositories

Investigate and navigate bacterial genomes and their annotation using Artemis

Identify genomic regions with low/high GC (guanine-cytosine) content, often associated with virulence

Perform simple comparative analyses between bacterial genomes

课程概况

Applying increasingly powerful computation to genomics contributes to important medical breakthroughs.

On this course, you will discover the basic principles of microbial bioinformatics analysis, and comparative genomics. Using Artemis, a free genome browser, you will find out how to investigate whole bacterial genomes, and through the analysis of bacterial genes and proteins, you will explore the genomic features of pathogens.

By the end of this course, you will be able to use genomic data to increase your knowledge of microbial genomes.

课程大纲

Multi-FASTA files

Reference and draft bacterial genomes

Introduction to Artemis, an open source genome browser

面向人群

This course would benefit those interested in learning how to use tools to investigate bacterial genomes, and acquire bioinformatics skills to evaluate the role of microbial genes in disease. Using analytical tools to access and probe genomes, learners will find out how to perform comparative analyses of genes and their protein products.

The course will be of interest to undergraduates, post-graduates, researchers, bioinformaticians, microbiologists, and healthcare professionals. The opportunity to use online computational tools to probe bacterial genomes will also be of interest to teachers and their 16-18-year-old science and computing students.

Bacterial Genomes: From DNA to Protein Function using Bioinformatics is a recommended pre-requisite. Scientific terminology is explained.

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