High-throughput technologies have revolutionized medical research. Genomic, metagenomic, transcriptomic, proteomic, metabolomic, and immunologic data are now incorporated into the routine methodology of biological researchers. To achieve a comprehensive understanding of biological systems, and to decipher the information flow underlying diseases, rigorous multi-omics analytic support is required in study design, data processing, data modeling, and integration with other clinical measurements.

NYU Langone’s Multi-Omics Study Design and Data Integration Resource (MOSDIR) specializes in multi-omics data analysis, particularly within the realm of downstream statistical modeling and analysis. Statistical analysis of multi-omics data presents a unique set of challenges, from handling diverse data types to uncovering complex biological interactions. At MOSDIR, we understand these complexities, and we are equipped with the expertise and tools necessary to navigate this intricate landscape. We place a strong emphasis on providing rigorous consultation and analytic support to ensure the integrity and reliability of study findings.

Each type of omics data possesses its distinct raw format, thus we advise collaborating with specialized laboratories for the upstream data processing. For instance, for the analysis of raw sequencing data, we suggest partnering with Applied Bioinformatics Laboratories. Similarly, for metabolomics raw mass-spectrometry data, we recommend collaborating with Metabolomics Laboratory. Once raw data are processed, our team is poised to conduct state-of-the-art multi-omics data integration, employing advanced statistical methodologies and sophisticated modeling techniques.

Contact Us

The Multi-Omics Study Design and Data Integration Resource is located in Manhattan at 180 Madison Avenue, fourth floor.

To contact our director, Huilin Li, PhD, please email Huilin.Li@NYULangone.org.

To submit an inquiry, please complete our request form.

How to Acknowledge the Multi-Omics Study Design and Data Integration Resource

Please use the RRID in all of your citations when using the MOSDIR.

The MOSDIR team should be acknowledged in grant applications, media releases, or publications from any work that includes the use of our instruments, services, expertise, or data.