Mastering RNA Seq Data Analysis in Infectious Diseases

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Mastering RNA Seq Data Analysis in Infectious Diseases: Practices: Malaria, COVID-19
by NZUNGIZE Lambert (Author), UMUHOZA Diane (Author), KENGNE-OUAFO Jonas A (Editor)
English | 2021 | ASIN : B09DXGYFHR | 145 pages | PDF, AZW3, EPUB | 12 MB

Are you looking for the simplest approach for RNA seq data analysis in Linux and execute downstream analysis in R?
No need to wait for the expert in bioinformatics to help you. Analysing your RNA seq data is the most effective way to mastering how to interpret the results of your project.
In this book, you'll learn step-by-step the process of identifying the high and low expressed genes or transcripts through RNA seq data analysis. Not only for Infectious Diseases, but these strategies can also be applied to any other RNA seq dataset.
How to preprocess RNA seq data in Linux.
Perform quality control and trimming of low quality data.
How to perform alignment/mapping of reads on a reference genome.
To quantify reads and normalization.
RNA seq data analysis in R.
How you long haul career as a consultant, computational biologist or data scientist in genomics and transcriptomics after mastering the RNA seq data analysis.

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