Genomic Tool Development

We are developing computational programs and tools to bridge the application of genomics with current clinical and research needs.

SELECTED PLATFORMS AND TOOLS

INT²GRATE 
Hereditary Paraganglioma-Pheochromocytoma Syndromes

INT²GRATE
von Hippel-Lindau Syndrome

INT²GRATE |Cancer Therapy  

Oncofusione

Python program to merge tumor and germline genome data. Oncofusione allows large scale, rapid integrated tumor and germline data analysis.

OmniPD

Python program to create a large aggregate database of variant information from individual VCF files. OmniPD allows rapid calculation and analysis of variant allele frequency across subpopulations.

Genome Genie

Python program to programmatically query multiple allele frequency parameters from the gnomAD database. Genome Genie allows for the rapid analysis and calculation of the annotated variant allele frequency across population databases.

Global Genie

Python program to programmatically cross reference variant allele frequencies from the ethnically-derived sequence variant databases. Global Genie allows for the rapid analysis of the variant allele frequencies and integration of the variant data from creation of large scale and ethnic-specific genome databases.

CGAP

Computational Genome Analysis Platform (CGAP) is an intuitive, open-source analysis tool designed to support complex research & clinical genomics workflows.

CGAP is co-developed by the Department of Biomedical Informatics (DBMI) at Harvard Medical School & Brigham Genomic Medicine (BGM). CGAP is available to Mass General Brigham (MGB) members. To inquire about using CGAP at MGB, contact MGB PI @Ghazani. To inquire about CGAP deployment in your institution contact CGAP computational team at DBMI.