Englander Institute for Precision Medicine

Computational Biology & Informatics

Computational biology and bioinformatics are the use of computational methods to analyze and interpret biological data, including that from DNA sequencing, gene expression analysis, and protein structure prediction. These efforts are essential to the mission to improve patient care and to advance the field of precision medicine. The Englander Institute for Precision Medicine has a strong team of computational biologists and informaticians who are experts in using these methods to advance our understanding of disease and develop new treatments.

Research Efforts

EIPM computational biologists and informaticians work includes: 

  • Data Analysis & Mining: We develop new methods for analyzing and mining large datasets of biological data. This allows us to identify patterns and relationships that would not be visible with traditional methods.
  • Modeling & Simulation: We develop models and simulations of biological systems. This allows us to test hypotheses about how these systems work and to predict how they might respond to changes.
  • Drug Discovery: We use computational methods to identify new drug targets and to design new drugs. This work is helping to accelerate the development of new treatments for diseases.

Tumor Mutation BurdenMutation Calls & Characterization Differential Gene Expression HLA PredictionsSurvival AnalysisImage analysis -cell and cell type identificatioRetroviral Element Detection
Micro-satellite Instability Mutational SignaturesGene FusionsNeoantigen Predictions Associations with Clinical Features Tissue architecture - cell talksData Visualization : EIPM Portal, CbioPortal
Cancer Subtype DetectionCopy Number Alterations scRNA Data AnalysisTumor MicroenvironmentAnalysis of public/private datasets
Clonal EvolutionT-cell & B-cell Repertoires

We are excited about the potential of computational biology and bioinformatics to revolutionize healthcare. We believe that these methods will play a critical role in developing new treatments for diseases and improving patient care. 

Data Portals


The cBioPortal is an open-source platform that allows researchers to visualize, explore, and analyze cancer genomic datasets. It is a powerful tool that can be used to identify patterns and relationships in cancer data, and to develop new hypotheses about how cancer works.

The cBioPortal is used by researchers around the world, and it has been instrumental in advancing our understanding of cancer. It is a valuable resource for anyone who is interested in using computational methods to study cancer.

Here are some of the specific ways that the Englander Institute for Precision Medicine uses cBioPortal:

  • To identify genes that are frequently mutated in different types of cancer.
  • To study the relationship between genetic mutations and clinical outcomes.
  • To develop new cancer biomarkers.
  • To design new cancer therapies.

The cBioPortal is a valuable tool that is helping us to make progress in the fight against cancer.  

At the Englander Institute for Precision Medicine, besides of code and data contributions to cBioPortal, we maintain an internal EIPM cBioPortal with additional access to unique, internal cohorts specific to the institutes data. Access to these internal datasets can be granted upon request, providing valuable resources for researchers seeking to conduct more specialized or in-depth studies in the field of precision medicine and oncology.

If you are interested in exploring a new translational research collaboration, submit inquires here.

If you are interested in learning more about our work in computational biology and bioinformatics, or would like to access our translational data please contact ipminfo@med.cornell.edu

Andrea Sboner, PhD
Director of Informatics and Computational Biology
Englander Institute for Precision Medicine

Bhavneet Bhinder
Senior Research Associate
Englander Institute for Precision Medicine

Weill Cornell Medicine Englander Institute for Precision Medicine 413 E 69th Street
Belfer Research Building
New York, NY 10021