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所在平台: Udemy |
课程主页: https://www.udemy.com/course/bioinformatics-s/
课程评论：没有评论
课程名称：生物信息学：理论与Python编程 课程概述： 大家好！在这门课程中，您将通过我的指导，学习从遗传学基础到生物信息学方法及工具（包括图形用户界面工具和基于Python的工具）。课程分为四个章节。 第一章将讨论遗传学基础、分子生物学的中心法则、核苷酸序列作为代码、密码子、蛋白质以及基因组中存在的功能序列元素。 第二章将介绍生物信息学及其目标，以及不同科学家采取的各种研究方法。您将清晰地看到这些方法之间的区别，并在后续可以基于这些知识规划自己的工作流程，随时选择最适合的工具组合。 第三章将讲解生物信息学领域中存在的数据格式类型，特别是FASTA和PHYLIP格式的外观和使用。您还将学习如何使用基于网络的图形用户界面软件进行格式转换，以及如何执行BLAST分析。 第四章将带您进入实施生物信息学的实践流程，包括使用Biopython及其他工具。您将了解如何利用命令行工具和BioPython库执行不同设置下的BLAST分析，并使用GenomeDiagram库根据Genbank格式的基因组数据进行基因组可视化。简而言之，您将能够在工作中提高控制性和复杂性。 通过本课程的学习，您将理解生物信息学的概念及其基础，掌握如何组织工作流程，理解该领域数据的基本知识。您还将获得进行序列格式转换、执行BLAST分析、编写Python脚本和使用命令行软件的技能。 欢迎加入课程！
Hello, everyone!In the Course, you will get through the fundamentals of Genetics up to the Bioinformatics methods and tools (both GUI and Python-based tools) with my modest guidance.The Course consists of 4 chapters.In the very beginning, we are about to discuss Fundamentals of Genetics, Central Dogma of Molecular Biology, Nucleotide Sequences as Code, Codons, Proteins and Functional Sequence Elements present in the Genome, in Chapter 1.Then, in Chapter 2, you will be introduced to Bioinformatics, its goals and different approaches taken by various scientists. You will clearly see the difference between these approaches and take them into account planning your own workflow later. Remember, you are always free to pick your own best combination of tools, using knowledge accumulated.In Chapter 3, you will learn what data formatting types are present in the bioinformatics field and how they look like, especially the FASTA and PHYLIP formats. You'll also learn how to work with web-based GUI software and perform conversion between the formats given, and also how to perform BLAST analysis.In Chapter 4, you will get into Bioinformatics with Biopython and other tools. You will get to understand how to use command-line tools and BioPython library in order to perform BLAST analysis with different settings, create genome visualization with GenomeDiagram library using Genbank formatted genomic data. To put it short, you will be able to simply make your work more controllable and sophisticated in terms of specificity.So, at the end of this course, you will understand what Bioinformatics is, what it is based on and how to organise your workflow understanding the basics of data in this field. You will also get skills of performing sequence formats' conversions and BLAST analysis, writing python scripts and working in command-line software.Welcome to the course!
