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Analyzing Genomic Data in R

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Total Duration
16 Hours

Are you interested in analyzing next-generation sequencing data but lacking in strong computational skills? In this skills track, geared towards non-computational biologists, you will learn to use Bioconductor, the specialized repository for bioinformatics software, along with essential Bioconductor packages. Then, you'll learn about current best-practice workflows for RNA sequencing differential expression analysis, as well as Chip-sequencing data.

Courses in this Learning Path
1
Introduction to Bioconductor in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Beginner
Learn Type :Certification
Introduction to Bioconductor in R

Many biological research, including medicine, biotech and biotech, focuses now on sequence analysis. We are now generating big data from the whole genome that can be used for biological research. To help you get started, the Bioconductor project is presented. Bioconductor is the platform for sharing software tools (packages and workflows) that can be used to analyze and understand genomic data. …

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2
RNA-Seq with Bioconductor in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
RNA-Seq with Bioconductor in R

RNA-Seq is a next-generation sequencing technique which identifies genes or pathways that are responsible for certain diseases and conditions. It's exciting. As high-throughput sequencing data becomes more affordable and easier to access, the ability to analyze it is becoming a valuable skill. You will learn about the RNA sequencing process and how to identify genes or biological processes that …

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3
Differential Expression Analysis with limma in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Differential Expression Analysis with limma in R

Functional genomic technologies, such as sequencing and microarrays, can be used by scientists to get unbiased measurements of gene expression at large scale. No matter if you're creating your data from publicly available data sets or creating it, you will need to be able to analyze it. This course will show you how to use R/Bioconductor's flexible package limma to perform differential …

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4
ChIP-seq with Bioconductor in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
ChIP-seq with Bioconductor in R

Bioinformatics has become a crucial branch. It allows us to see the inner workings of our cells. All of them share the same genome. This is true regardless of whether they're brain cells that help you read this webpage or immune cells that check your body for microorganisms. The active genes are what distinguish them. Complex proteins activate and deactivate various genes to determine these …

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