|
所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/plant-bioinformatic-methods
课程评论：没有评论
植物生物信息学方法专业化课程概述： 在过去的15年里，植物生物学领域经历了激动人心的发展，包括数百个植物基因组的测序及利用RNA-seq进行转录组范围的表达谱分析。这些基于“-seq”技术的方法为蛋白质-蛋白质和蛋白质-DNA相互作用的高通量测定提供了廉价方案。这些数据集的生成使研究人员能够快速提出假设。 Coursera上的植物生物信息学专业化课程介绍了生物信息学的核心技能和资源，包括NCBI的Genbank、Blast、多重序列比对及系统发育学等。在《生物信息学方法I》中学习相关基础，而《生物信息学方法II》中则涵盖了蛋白质相互作用、结构生物信息学和RNA-seq分析。此外，本课程还介绍了33种植物特定的在线工具，从基因组浏览器到转录组数据挖掘及启动子/网络分析。 最后，课程中的植物生物信息学实战项目（Capstone）要求学生使用所学工具对功能未知的基因进行生物学作用的假设，最终撰写实验室报告总结。该课程适合任何希望了解现代植物分子生物学研究数据广泛性的研究人员。虽然《生物信息学方法II》中引入了少量R编程，但绝大多数工具都是网络应用程序，建议学员使用便携式计算机或台式计算机进行操作。 课程链接： 1. [生物信息学方法I](https://www.coursera.org/learn/bioinformatics-methods-1) 2. [生物信息学方法II](https://www.coursera.org/learn/bioinformatics-methods-2) 3. [植物生物信息学](https://www.coursera.org/learn/plant-bioinformatics) 4. [植物生物信息学实战项目](https://www.coursera.org/learn/plant-bioinformatics-capstone)
Course Link: https://www.coursera.org/learn/bioinformatics-methods-1
Name:Bioinformatic Methods I
Description:Offered by University of Toronto. Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using ... Enroll for free.
Course Link: https://www.coursera.org/learn/bioinformatics-methods-2
Name:Bioinformatic Methods II
Description:Offered by University of Toronto. Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using ... Enroll for free.
Course Link: https://www.coursera.org/learn/plant-bioinformatics
Name:Plant Bioinformatics
Description:Offered by University of Toronto. The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, ... Enroll for free.
Course Link: https://www.coursera.org/learn/plant-bioinformatics-capstone
Name:Plant Bioinformatics Capstone
Description:Offered by University of Toronto. The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, ... Enroll for free.
The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.
植物生物信息学方法专业化：在过去的15年中，植物生物学令人振奋。已经对数百个植物基因组进行了测序，RNA-seq已实现了转录组范围内的表达谱分析，基于“ -seq”的方法的广泛使用已使蛋白质-蛋白质和蛋白质-DNA相互作用得以廉价且高通量地测定方式。这些数据集反过来又使我们能够通过单击鼠标或手指来生成假设。Coursera上的植物生物信息学专业知识介绍了核心生物信息学能力和资源，例如NCBI的Genbank，Blast，多重序列比对，生物信息学方法中的系统发育学。 I，然后是生物信息学方法II中的蛋白质-蛋白质相互作用，结构生物信息学和RNA-seq分析。在植物生物信息学中，我们涵盖了33种特定于植物的在线工具，从基因组浏览器到转录组数据挖掘再到启动子/网络分析等。最后，植物生物信息学Capstone使用这些工具来假设功能未知的基因的生物学作用，并在一份书面实验室报告中进行了总结。该专业知识对于希望对可用数据范围难以理解的任何现代植物分子生物学家都非常有用给研究人员。生物信息学方法II中引入了少量的R编程，但是大多数工具是Web应用程序。建议您使用便携式计算机或台式计算机来运行它们，因为它们可能无法在手机或平板电脑上用作移动应用程序。