Introduction to Tufts High Performance Compute Cluster 

  This workshop is a brief introduction of the structure and usage of the Tufts HPC clusters, as well as the basic usage of its scheduler “SLURM”. 
 This is a hands-on workshop and an account on the HPC cluster is required**. Basic Linux knowledge is required. If you are not familiar with Linux, please check out our “Introduction to Linux” workshop.   **REQUIREMENT**  Workshops utilize the Tufts High Performance Computer Cluster.

A Gentle Introduction to R

This workshop is designed to get you started with the statistical programming language R. We will provide an overview of the R language and the RStudio interface and compare them to other commonly used statistical programs and programming languages. Then we will walk through an R script and cover the following:

Meet the Bioinformatics Team on Campus - Boston Edition

Jason Laird and Adelaide Rhodes have recently joined the Research Technology Team that maintains the HPC Cluster among other high demand computer resources at Tufts University.

We want to get to know the students, staff and faculty of Tufts, so feel free to drop by during one of our open office hours to get acquainted with our asynchronous, recorded and live training materials or just to ask a question about bioinformatics in general.

We have the ability to help Tufts University affiliates with any sequencing data needs.

Meet the Bioinformatics Team on Campus - Medford Edition

Jason Laird and Adelaide Rhodes have recently joined the Research Technology Team that maintains the HPC Cluster among other high demand computer resources at Tufts University.

We want to get to know the students, staff and faculty of Tufts, so feel free to drop by during one of our open office hours to get acquainted with our asynchronous, recorded and live training materials or just to ask a question about bioinformatics in general.

We have the ability to help Tufts University affiliates with any sequencing data needs.

Introduction to BioCyc for Life Sciences Graduate Students, Postdocs and Faculty (4 parts)

Introduction to BioCyc for Life Sciences Graduate Students, Postdocs and Faculty (4 parts)

BioCyc is an extensive web portal containing 20,000 genomes and associated metabolic pathways for microbes, model eukaryotes, and humans. The BioCyc website provides extensive bioinformatics tools for searching and analyzing these databases, and leveraging them for analysis of omics datasets.

Introduction to BioCyc for Life Sciences Graduate Students, Postdocs and Faculty (4 parts)

Introduction to BioCyc for Life Sciences Graduate Students, Postdocs and Faculty (4 parts)

BioCyc is an extensive web portal containing 20,000 genomes and associated metabolic pathways for microbes, model eukaryotes, and humans. The BioCyc website provides extensive bioinformatics tools for searching and analyzing these databases, and leveraging them for analysis of omics datasets.