Computational Genomics
A major focus at the NYGC is the development and application of computational methods capable of extracting biological understanding from genomics data. These tools are publicly available and many are widely used by the broader scientific community.
Computational Biology Group
In particular, the NYGC scientists have developed software for single-cell analysis (Satija Lab), structural variation calling (Imielinski Lab), RNA splicing quantification (Knowles Lab), allele-specific expression analysis (Lappalainen Lab), and somatic variant calling (Computational Biology / Bioinformatics group).
The NYGC researchers are involved in using these, and other, computational and statistical approaches to further understand both healthy development and genetic disease.
Examples include whole genome sequencing analysis to probe the genetic basis of autism (Iossifov Lab and the Computational Biology / Bioinformatics group), integrating genetic and transcriptomic data to model gene regulation (Lappalainen and Knowles labs), and mapping epigenetic “mutations” in hematological cancers using single-cell methylation measurements (Landau Lab).
Featured News & Publications
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bioRxiv. · February 11, 2024 · Pre-Print
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bioRxiv. · January 29, 2024 · Pre-Print
Systematic reconstruction of molecular pathway signatures using scalable single-cell perturbation screens.
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EMBO Reports · January 16, 2024
Osteocalcin of maternal and embryonic origins synergize to establish homeostasis in offspring.