ChIP-seq with Bioconductor in R
Life Sciences and Medicine
Short Description
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Long Description
ChIP-seq analysis is a crucial field within bioinformatics that offers valuable insights into the inner workings of cellular processes. It enables us to gain a deeper understanding of the genes that are active in different cell types, ultimately determining their unique functions. This is particularly relevant in the context of diseases, as dysregulation of gene activity can lead to serious conditions such as cancer. By studying ChIP-seq data, we can unravel the role of regulatory proteins and their impact on disease development. This analysis provides us with the opportunity to identify potential interventions that can prevent abnormal cell behavior. In this course, you will have the chance to explore an authentic dataset and acquire the necessary skills to process and analyze ChIP-seq data using the R programming language.
Course Details
- Duration
- 4 hours
- Format
- Short Course
- Price
- USD39.00
- Course Link More Information