About Tufts Research Technology Bioinformatics

Research Technology Bioinformatics provides consultations to Tufts students, faculty and researchers. In addition we maintain bioinformatics tools on the Tufts HPC Cluster and the Tufts Galaxy Platform. We also lead in-class sessions, partner on grants, and develop workshops.

Coming Soon

Omics Tutorials

Metagenomics
Proteomics
Metabolomics
GWAS
DNA Methylation Analysis
CHIP-seq Analysis
Multi-omics

Biostatistics:

Two-Way ANOVA
Bayes Rule
Bayes Alternatives to Frequentist Statistics

Machine Learning:

Model Performance
Regularization
Decision Trees/Ensemble Methods
Neural Networks
Deep Learning
Bayesian Modelling
Bayesian Networks

Acknowledgement

Much of this content has been adapted from great tutorials originally created by:

Jason Laird, Bioinformatics Scientist, TTS Research Technology, Tufts University
Rebecca Batorsky, Data Scientist, DISC, Tufts University
Adelaide Rhodes, Senior Bioinformatics Scientist, TTS Research Technology, Tufts University

We would also like to thank Kyle Monahan, Klara Chura, Christina Divoll, Kayla Sansevere, and Uku Uustalu for their review of this content!