---
tags: bioinformatics
---
# Bioinformatics tutorials
Bioinformatics tutorials provided by Tufts Research Technology.

```{gallery-grid}
:grid-columns: 1
:grid-rows: 16

- header: "{fas}`book;pst-color-primary` Bioinformatics tools guide"
  content: "An overview of the bioinformatics tools currently available Tufts cluster, organized by specific research areas. "
  link: "doc/Bioinformatics_tools_guide.html"

- header: "{fas}`book;pst-color-primary` Parallel read alignment with slurm"
  content: "An overview of running read alignment in parallel using the SLURM job scheduler"
  link: "doc/Parallel_read_alignment_with_slurm.html"

- header: "{fas}`book;pst-color-primary` Running nfcore pipelines at Tufts HPC"
  content: "How to run nf-core pipelines on Tufts HPC"
  link: "doc/Running_nfcore_pipelines_at_Tufts_HPC.html"

- header: "{fas}`book;pst-color-primary` Using singularity in bioinformatics"
  content: "Introduction to biocontainers and singularity"
  link: "doc/Using_singularity_in_bioinformatics.html"

- header: "{fas}`book;pst-color-primary` Using Python Packages with Jupyter Notebook"
  content: "Exploring Python Bioiformatics Packages with Jupyter Notebook"
  link: "doc/Exploring_Python_Bioiformatics_Packages_with_Jupyter_Notebook.html"

- header: "{fas}`book;pst-color-primary` scRNA-seq in Python"
  content: "Set Up Conda Environment and Create Jupyter Kernel for scRNA-seq Analysis"
  link: "doc/Set_Up_Conda_Environment_and_Create_Jupyter_Kernel_for_scRNA-seq_Analysis.html"


- header: "{fas}`book;pst-color-primary` scRNA-seq in R"
  content: "scRNA-seq analysis with RStudio"
  link: "doc/scRNA-seq_analysis_with_RStudio.html"


- header: "{fas}`book;pst-color-primary` Parallel Computing in R for Bioinformatics"
  content: "Parallel Computing in R for Bioinformatics"
  link: "doc/Parallel_Computing_in_R_for_Bioinformatics.html" 
  
- header: "{fas}`book;pst-color-primary` Package installation using container-mod"
  content: "Creating modulefile for containers"
  link: "doc/container-mod.html" 

- header: "{fas}`book;pst-color-primary` Differential Expression Analysis with DESeq2 using OOD Rstudio"
  content: "Differential Expression Analysis with DESeq2 using OOD Rstudio"
  link: "doc/DESeq2_in_R_OOD.html"