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Unlock the secrets of gene expression and propel your career forward with this Analyzing Next Generation Sequencing Data for Gene and Pathway Changes course. This course teaches a bioinformatics pipeline to analyze next generation sequencing data effectively, with a focus on bulk profiling data from the Gene Expression Omnibus (GEO). You will learn to how to mine, clean, and normalize next generation sequencing data, and then analyze it to identify differentially expressed genes and pathway activity changes. By the end of this course, you will be equipped not only with practical skills but also with the confidence to initiate your own bioinformatics research projects using advanced tools like the publicly available integrated Differential Expression & Pathway analysis for non-programmers, DESeq2 for R programmers, and GSEApy for Python programmers. Step into the world of bioinformatics and start making significant biological discoveries today!

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