Whole Genome Variant Calling @ Linux

所在平台: Udemy

课程主页: https://www.udemy.com/course/whole-genome-variant-calling-of-sars-ncov2-linux/

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课程简介

课程名称:Linux上的全基因组变异检测 课程概述:本课程将帮助学生揭开分子遗传学和生物信息学交叉领域的神秘面纱。学生将了解到生命科学研究者迫切需要计算技能的原因,以及将适用于哪种生物数据计算。课程还将介绍Linux操作系统如何解决多组学问题,以及生物信息学和计算生物学如何不断发展以应对现代生物学的挑战。未来,生物学家不仅限于湿实验室,因此我们邀请您通过生物信息学数据科学工具来分析、可视化和推断您的大型基因组数据集的核心内容。该课程是您从湿实验室过渡到干实验室的理想选择,帮助您分析整体基因组下一代测序(NGS)数据以进行变异检测。 该作者还提供其他课程,包括使用MOE进行分子对接、使用Galaxy进行全基因组变异检测、使用RNA-Seq进行差异基因表达分析以及使用NGS pooled-seq数据集进行基因组选择特征管道分析。对于进一步的学习,您可以访问作者的谷歌学术页面,了解不同的生物信息学数据分析管道及其在人类、动物和微生物研究中的应用。此外,可以探索“解码基因组”网页,获取分子诊断的实践培训以及安排的在线NGS数据分析课程。

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课程详情

This course will untangle the mysteries of students stand alone on the boundaries of molecular genetics and bioinformatics, they will come to know that why life sciences researchers are direly needed computation skills, on which type of biological data computation will apply, how Linux operating system compute multi-omics problems, and how the fields of bioinformatics and computational biology are evolving to circumvent modern biology problems. In the time to come, biologists will not restrain to the wet-labs only, so let's come and modify yourselves with bioinformatics data science tools for analysis, visualization and inferring crux of your big genomic datasets. This course is the right stop, that will help you to overwhelm your transition from wet to dry-labs and facilitate you to analyze the whole genome NGS data for variant calling.that speaks loud around.Other courses of the same author are also available on molecular docking using MOE, whole-genome variant calling using Galaxy, differential gene expression analysis using RNA-Seq, and genomic selection signature pipelines using pooled-heterozygosity statistics on NGS pooled-seq datasets.For further readings, you may visit the author's google scholar page for different bioinformatics data analysis pipelines with their application in human, animal, and microbial studies. "Decode Genomics" webpage may also be explored for hands-on training in molecular diagnostics for local students/enthusiasts and interactive online courses in NGS data analysis may also be scheduled.

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