Genomic Data Analysis in R | Omics Logic

Описание к видео Genomic Data Analysis in R | Omics Logic

If you're new in bioinformatics, and haven't really studied how to code, one popular language to get started is R. It is important to get started with genomics by learning how to load data and visualize it, as well as perform genomic data analysis and find patterns that can help us interpret the language of DNA, RNA and protein.

Genomics is an essential subfield of bioinformatics, and a major force in expanding human knowledge of genetic associations with disease and other traits. It is an interdisciplinary field, including the development of methods for DNA sequencing, as well as for big data analysis of genomic sequences. Next-Generation Sequencing (NGS) techniques allow for whole-genome sequencing, and analysis of epigenetic factors such as DNA-protein interactions and DNA methylation with unprecedented efficiency. Massive databases for biological sequence data such as GenBank, EMBL, and SRA allow for data-driven research and knowledge discovery.

This short video is an introduction to the bioinformatics sub-discipline of genomics. It is an introduction to a longer program, where participants will be familiarized with the biology of genetics and genetic variation, while considering practical applications.

Here is what we cover in this introduction:

00:00 Bioinformatics in R for beginners
00:33 Working with DNA sequences in R (example)
06:14 Multiple sequence Alignment practice
06:33 Data visualization example

Ready to get started? This video is just a preview. If you want to see more, join Omics Logic: A place to learn bioinformatics and data science for biology students. This portal is about scientific inquiry using complex biological data. We call it "Omics" - genomics, transcriptomics, meta genomics, epigenomics.

Get started with a complete a free course “Genomic Data Analysis in R” : https://learn.omicslogic.com/programs...

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What else do we do? We offer bioinformatics training and analysis software, check them out on the links below:
The Omics Logic Training Portal: https://learn.omicslogic.com
The Big Data Analysis Platform: https://server.t-bio.info

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