Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“‘Ten simple rules for teaching yourself R
πŸ’₯Teaching yourself new skills can be hard. It can be a process rife with frustration, self-doubt, and low motivation to continue. The 10 rules we list here are our best strategies to overcome these challenges, master new techniques, and maybe even have some fun along the way! We hope that these rules will help new R users, be they graduate students, hobbyists, or established researchers eager to learn a new tool.

πŸ“˜Journal: PLOS Computational Biology (I.F.=4.779)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#r
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πŸ“„Basic and Advanced Network Visualization with R

πŸ’₯Technical paper

πŸ“˜ PDF

πŸ’» Code

πŸ—‚οΈ data

πŸ“²Channel: @ComplexNetworkAnalysis

#tools #R #code
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πŸŽ₯ R or Python, Which Should I Learn as a Bioinformatician?
πŸ’₯ Recorded webinar from NIH

🎞 Watch

πŸ“²Channel: @Bioinformatics
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πŸ“½ Data Wrangling with R
πŸ’₯ Bioinformatics Training and Education Program from NIH, 2022

πŸ“¦
Course Materials
▫️Lesson 1: Introduction to R, RStudio
▫️Lesson 2: Getting started with R
▫️Lesson 3: Importing and reshaping data
▫️Lesson 4: Data Visualization with ggplot2
▫️Lesson 5: Introducing dplyr and the pipe
▫️Lesson 6: Continue data wrangling with dplyr
▫️Lesson 7: Important concepts review

πŸ“²Channel: @Bioinformatics
#video #course #r
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🎞Bioinformatics with R & Linux
πŸ’₯Full course with 25 session from Michael W. Vandewege (North Carolina State University)

πŸ“Ή Watch

πŸ“²Channel: @Bioinformatics
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πŸ“– Translational Bioinformatics with R
πŸ’₯Free Online E-Book

From Preface: ...I am a data scientist working in the Pharma/Biotech industry, where my work is mainly related to biomarkers such as exploratory biomarkers analysis, subgroup identification, predictive and prognostic biomarker identification etc. I have a dual educational background in Biology and Computer Science, and have been applying statistics and machine learning in my daily work. The purpose of my wirting of this book is to showcase how to leverage advanced statistics and machine learning as well as causal inference in translational bioinformatics. This is an evolving field inviting innovations and ideas, and I would like to write this book to introduce this field to the general public, to inspire newcomers, to invite peers for critiques and suggestions and just to get the converation on translational bioinformatics started.

πŸ—“Publish
year: 2022

🌐 Study (Web version)

πŸ“²Channel: @Bioinformatics
#book #r #translational
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πŸ‘¨β€πŸ« Workshop in Applied Bioinformatics using R and Python
πŸ’₯This online book aims to illustrate how you can implement bioinformatic code to perform data manipulation, exploration, mining, statistics and graphics

πŸ—“ Date: 2023-03-15

🌐 Open the GitBook

πŸ“²Channel: @Bioinformatics
#workshop #course #r #python
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