Genomic Tool Development
Our lab develops computational platforms and tools that bridge genomics with clinical and research applications in precision oncology. These resources support the scientific and clinical cancer community through public-facing data sharing.
SELECTED PLATFORMS AND TOOLS
INT²GRATE Variant Portal for Lynch Syndrome
INT²GRATE Variant Portal for Hereditary Paraganglioma-Pheochromocytoma Syndrome
INT²GRATE Variant Portal for 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.
