Скачать или смотреть How RNA-Seq Data Analysis Has Revolutionized the Field of Genomics?

In this video, we will talk about RNA-sequencing data analysis.

RNA-seq stands for RNA sequencing, which is a high-throughput method for analyzing the transcriptome of an organism, that is, all the RNA molecules present in its cells. RNA-seq is a powerful technique that enables us to understand the gene expression profiles of organisms.

RNA-seq has revolutionized the field of genomics because it allows researchers to study gene expression in a way that was not possible before. By analyzing RNA-seq data, we can identify differentially expressed genes, alternative splicing events, novel transcripts, and much more. This information can help us understand how genes are regulated, how different cell types differ from each other, and how diseases arise.

In summary, RNA-seq data analysis is a powerful technique that enables us to understand gene expression profiles and their regulation in different conditions and diseases. By following the RNA-seq data analysis pipeline, we can obtain reliable and accurate results that can help us understand the molecular basis of biological processes.

BioCode is offering End-to-End RNA-Seq Data Analysis With Python-Based Pipeline Course which is a complete workshop on RNA-sequencing using Python tools and libraries. In this course, students will learn the theoretical and practical aspects of how to perform RNA-sequencing data analysis from data collection to the visualization of differentially expressed genes.

In this course, students will learn:
-Introduction to RNA-Seq, NGS
-In-depth Knowledge of Python
-Command-line tools for RNA-Seq
-Quality Control and Trimming
-Mapping & Evaluation of Alignment
-Functional Enrichment Analysis with Gene Ontology & KEGG Pathways

To learn more about RNA-Sequencing Data Analysis, DM us we can help you get started. BioCode provides an interactive platform to learn biological programming in Python & R, bioinformatics techniques, tools, databases, and biological data analysis in a cooperative manner covering both theoretical and practical aspects of computational biology topics. BioCode provides you with videos regarding every topic along with exercises. BioCode allows you to learn at your pace according to your schedule. Along with every video BioCode provides you with transcriptions and PowerPoint presentations regarding that topic. If you have any queries during the lectures, there’s a dedicated section available for you to ask questions from your tutor.

Join BioCode’s End-to-End RNA-Seq Data Analysis With Python-Based Pipeline Course: https://bit.ly/RNA-Seq-Python
Get Started With Bioinformatics: https://bit.ly/3vR3Bpa

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