Learn RStudio and Quarto for Data Analysis | Bioinformatics

Dive into the world of bioinformatics with our comprehensive 2024 guide on setting up RStudio and Quarto for FASTQ data analysis. This step-by-step tutorial is tailored for both beginners and experts in R programming, providing all the essential tools and techniques needed to efficiently analyze FASTQ data. Enhance your bioinformatics skills with our expert insights and practical tips.

▸Learn the R programming language for bioinformatics in this tutorial course. This is a hands-on overview of the Quarto tool in R Studio, where you can make documentation and technically distribute the output to everyone in your community.

▸Learn how to set up R Studio, the Quarto tool, and how to install packages from Bioconductor. This is a comprehensive tutorial, and I focus on very important aspects one bioinformatician should know.

▸I have also explained a mini-project regarding FASTQ manipulation in R and how to calculate the quality metrics of a FASTQ file.

▸𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐖𝐚𝐭𝐜𝐡?
Bioinformatics students and professionals
Researchers in genomics and related fields
Anyone interested in learning how to use R for NGS data analysis

▸𝐖𝐡𝐲 𝐖𝐚𝐭𝐜𝐡 𝐓𝐡𝐢𝐬 𝐕𝐢𝐝𝐞𝐨?
𝘗𝘳𝘢𝘤𝘵𝘪𝘤𝘢𝘭 𝘢𝘯𝘥 𝘋𝘦𝘵𝘢𝘪𝘭𝘦𝘥 𝘐𝘯𝘴𝘵𝘳𝘶𝘤𝘵𝘪𝘰𝘯𝘴: Our tutorial is packed with clear, step-by-step instructions that are easy to follow, ensuring you can replicate the processes in your own projects.
𝘙𝘦𝘢𝘭-𝘞𝘰𝘳𝘭𝘥 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴: The mini-project on FASTQ file manipulation gives you a taste of actual bioinformatics challenges, preparing you for real-world scenarios.
𝘌𝘯𝘩𝘢𝘯𝘤𝘦 𝘠𝘰𝘶𝘳 𝘉𝘪𝘰𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘤𝘴 𝘛𝘰𝘰𝘭𝘬𝘪𝘵: With this tutorial, you'll add essential skills to your bioinformatics arsenal, making you more proficient in handling and analyzing genomic data.

▸The next tutorials would be on DESeq2, scRNASeq, and many more.

▸ Link to Code:https://github.com/pritampanda15/Fastq-manipulation-in-R

▸ Important Links:
R Studio Desktop: https://posit.co/download/rstudio-desktop/
R: https://cran.rstudio.com
Fastq files: https://zenodo.org/records/3736457
Quarto: https://quarto.org
GITHUB: https://github.com/pritampanda15/Bioinformatics-Scripts-R-Python/tree/main/GEO_Dataset_Python
▸You can show your support and encouragement by buying me a coffee:
https://www.buymeacoffee.com/pritampkp15

▸To get in touch:
Website: https://nerdalytics.webflow.io
Github: https://github.com/pritampanda15
Email: pritampkp15@gmail.com

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