Bioinformatics Training

The team at the DF/HCC Bioinformatics Training Core provides bioinformatics training in multiple formats which can be broadly divided into the following:

  • Introduction to Next-Generation Sequencing (NGS) analysis series
  • Current topics in bioinformatics series

Our current workshops and courses are designed to help biologists become comfortable with using tools to analyze high-throughput data. We are slowly beginning to expand this repertoire to include training for researchers with more advanced bioinformatics skills.

Visit the training page here for more details.

 

Training Courses Available

  • Current Topics in Bioinformatics Series (half-day or less workshops)
  • Introduction to Next-Generation Sequencing Analysis Series
    • Basic Data Skills (1 to 1.5 day workshops):
      • Introduction to the Command-Line Interface (Shell)
      • Introduction to R
    • Advanced Topics: Analysis of High-Throughput Sequencing (NGS) Data (2-day intensive workshops):
      • Introduction to (bulk) RNA-Seq Using High-Performance Computing
      • Introduction to Differential Gene Expression Analysis
      • Introduction to ChIP-seq Analysis
      • Introduction to Single Cell RNA-seq Analysis

Past Courses

  • Gene annotations and functional analysis of gene lists
  • Bulk RNA-seq (Part I - FASTQ to counts)
  • Visualizations with ggplot2 and advanced plotting methods
  • Introduction to single-cell RNA-seq
  • Introduction to R
  • Tools for Reproducible Research 
  • Introduction to command-line interface & HMS-RC O2 cluster
  • Introduction to single-cell RNA-seq data analysis
  • Introduction to the command-line interface
  • Introduction to Python
  • Introduction to differential gene expression analysis (bulk RNA-seq)
  • Interactive Data Visualization with RShiny (with Ista Zahn)
  • Introduction to RMarkdown 

PUBLICATION ACKNOWLEDGEMENT:

If research supported by this core facility results in publication, please acknowledge this support by including the following in your publication(s):
"We thank Dana-Farber/Harvard Cancer Center in Boston, MA, for the use of the Bioinformatics Training Core, which provided __________ service. Dana-Farber/Harvard Cancer Center is supported in part by a NCI Cancer Center Support Grant # NIH 5 P30 CA06516."