GEN242
  • About
    Introduction Syllabus Schedule Internal Resources Installation
  • Slides
    Course Introduction (S1) Genome Basics (S2) Databases and Software (S3) DNA Sequencing (S4) Introduction to R (S5) Sequence Alignments (S6) Programming in R (S7) Multiple Alignments (S8) Short Read Alignments (S9) R on HPC (S10) NGS Analysis Basics (S11) Gene Expression Analysis (S12) NGS Workflows (S13) ChIP-Seq Overview (S14) Enrichment Analysis (S15) Cluster Analysis (S16) Project Data (S17) Graphics in R (S18) Building R Packages (S19) dplyr, tidyr and SQLite (S20) Workflow Review (S21) Final Discussion (S22) Additional Slide Shows (S23)
  • Tutorials
    GitHub Introduction (T1) Linux and HPCC Cluster (T2) Introduction to R (T3) Programming in R (T4) Parallel R (T5) NGS Analysis Basics (T6) Workflows (T7) RNA-Seq Workflow (T8) ChIP-Seq Workflow (T9) scRNA-Seq Embedding Methods (T10) R Markdown (T11) Functional Enrichment Analysis (T12) Cluster Analysis and Data Mining (T13) Project Data (T14) Graphics and Visualization (T15) Shiny Apps (T16) Building R Packages (T17) dplyr, tidyr and SQLite (T18) Automate CWL Creation (T19)
  • Assignments
    Homework HW1: Intro & GitHub HW2: Linux & HPC HW3: R Basics HW4: Alignments HW5: R Programming HW6: NGS Analysis Basics HW7: RNA-Seq Analysis HW8: R Markdown Projects Overview of Projects RNA-Seq Aligners DEG Methods DEXseq Analysis Cluster Analysis scRNA-Seq Embedding ChIP-Seq Peak Callers Functional Enrichment Motif Enrichment* Genome Graphics* Drug-target Analysis lncRNA Discovery Project Data Presentations Paper Presentations
  • Links
    Piazza GitHub Classroom GitHub Repo Bioconductor Hugo, Docsy & R
  • News
  • Slides
    • Course Introduction Genome Basics Databases and Software DNA Sequencing Introduction to R Sequence Alignments Programming in R Multiple Alignments Short Read Alignments R on HPC NGS Analysis Basics Analysis of Gene Expression Data Introduction to NGS Workflows ChIP-Seq Overview Functional Enrichment Analysis Cluster Analysis Project Data R Graphics R packages dplyr, tidyr and SQLite Review of Data Analysis Workflows Final Discussion Additional Slide Shows
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  1. Slides

Slides

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Course Introduction

Genome Basics

Databases and Software

Sequencing Technologies

Introduction to R

Sequence Alignments and Similarity Searching

Programming in R

Multiple Alignments

Short Read Alignments

R on HPC Systems

NGS Analysis Basics

Analysis of Gene Expression Data

Introduction to NGS Workflows

ChIP-Seq Overview

Functional Enrichment Analysis

Cluster Analysis

Project Data Management

Graphics and Data Visualization in R

Building R packages

Environments dplyr, tidyr and some SQLite

Review of Data Analysis Workflows

Final Discussion

Additional Slide Shows

Last modified 2022-03-22: some edits (e20be329e)
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