Quick Links for Lab Members

A curated list of essential resources for data science, bioinformatics, R development, and computing environments.

---

🧪 Bioinformatics

• 10-Step Guide to Party Conversation for Bioinformaticians

  A humorous yet insightful article on communicating bioinformatics concepts to non-specialists.

• Bioinformatics Algorithms

  A free interactive textbook covering core bioinformatics algorithms with coding challenges.

---

📊 Data Science

• R for Data Science

  A comprehensive introduction to data science using R, written by Hadley Wickham.

---

📦 R Package Development

• Happy Git with R

  A practical guide to integrating Git with RStudio for version control.

• R Packages (2e)

  A detailed manual on building and maintaining R packages.

• Bioconductor Home

  Central hub for R packages focused on bioinformatics and genomics.

• Bioconductor Release Schedule

  Timeline and versioning information for Bioconductor releases.

---

📈 General Statistics

• Statistics How To

  A searchable index of statistical concepts and methods.

• Mixed Modeling

  Introduction to linear mixed models across multiple statistical software.

• Generalized Linear Models

  Overview of GLMs and their applications.

• Cross Validation

  Explanation of cross-validation techniques for model evaluation.

---

💻 Linux and SCC (Shared Computing Cluster)

• Using Vim

  A beginner-friendly guide to the Vim text editor.

• Unix Primer

  A foundational tutorial on Unix commands and shell usage.

---

🧬 R and RStudio

• Apply Statements Refresher

  Overview of the apply family of functions for efficient looping in R.

• Differential Expression Discussion

  Community Q&A unpacking differential expression analysis in R.

• R Markdown Cheat Sheet

  Handy reference for creating dynamic documents with R Markdown.

• Intro to R Packages

  A beginner-friendly introduction to R package development.

• Intro to Bioconductor

  Tutorial on using Bioconductor for genomic data analysis.

---

🔧 Git and GitHub

• Git Refresher

  A quick review of Git basics for version control.

• RStudio + GitHub Integration

  Step-by-step guide to linking RStudio projects with GitHub.

---

🌐 R Shiny

• Shiny Tutorials

  Video tutorials for building interactive web apps with R Shiny.