Building and querying a kraken2 database

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**课程名称:** 构建与查询Kraken2数据库 **课程概述:** 本课程将深入介绍Kraken2,一款在下一代测序(NGS)宏基因组学领域广为人知的分类工具。Kraken2因其易用性和极快的分类速度,在科学研究中得到了广泛应用。通过构建使用全基因组序列的数据库,您可以对未知样本的序列进行分类,从而高效地识别样本组成。Kraken2的应用领域涵盖生物学、医学研究乃至地质学。 在本课程中,我们将首先概述Kraken2数据库语言背后的算法原理。随后,我们将进行一个实践环节,从NCBI的SRA数据库下载测序读数数据集,并使用我们已构建的数据库进行分类。此外,我们还将学习使用Pavian可视化软件,该软件能够以桑基图等形式图形化地展示分析结果,这些图表也可用于学术发表。 **目标学员:** 本课程主要面向生物学或医学专业的学生和研究人员。课程要求具备一定的Linux基础知识,但我们会详细解释和演示教学中涉及的少数关键命令,以确保所有学员都能顺利学习。 **学习价值:** 掌握本课程所学的技能,将为您在宏基因组学研究和分析方面提供重要的竞争优势,是您在该领域取得突破的宝贵助力。

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Kraken2 is a well-known Next Generation Sequencing (NGS) metagenomics classification tool. It is used widely in scientific research. With kraken2 you can build a database using whole genome sequences to classify read sequences against to identify unknown samples. It is easy to use and performs very rapid sample classification. Kraken2 has application in biology, medical research and even geology.In this video we will see a general overview of the algorithm behind the kraken2 database language. Then, we will do a hands-on example whereby we download read data sets from the SRA database from NCBI (the National Center for Biotechnology Information) and classify them against the database that we have built. We will also look at the Pavian visualization software which presents a graphical overview of our results (i.e. Stankey diagram). Figures made in this program can also be used for publication purposes.Students of this course are mainly either biology or medical students or researchers. Some knowledge of Linux is required to take the course, but there are only few commands that need clarification, but they will be explained in detail.In total, it is worthwhile learning the skills used in this course, which can give you the edge in metagenomics research and analysis.

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