Scientific Computing and Data

Partnering with researchers to advance scientific discovery

High Performance Computing Publications

Publications by Patricia Kovatch

Dean for Scientific Computing and Data Patricia Kovatch contributes to scientific journals and publications as a collaborative and primary author. Read more publications.

 

Excerpt: Preserving Data: Who’s Got Your Back(up)?

by Patricia Kovatch | Data management has become an essential part of research. Scientists need to be able to rely on their data infrastructures to recover data in case of disaster or to assist with reproducibility of their results. Ensuring a reliable data infrastructure and backup processes may not be the most exciting part of research, but consequences… Read more

 

Excerpt: An Inflammatory Cytokine Signature Helps Predict COVID-19 Severity and Death

The COVID-19 pandemic caused by infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to more than 100,000 deaths in the United States. Several studies have revealed that the hyper-inflammatory response induced by… Read more

Publications Through Minerva Computing

Minerva’s computing power helps scientists and researchers advance their studies. Many publications feature work made possible through Minerva.

 

Abstract: Before the Surge: Molecular Evidence of SARS-CoV-2 in New York City Prior to the First Report

by Hernandez MM. et al. 2021 February | New York City (NYC) emerged as a coronavirus disease 2019 (COVID-19) epicenter in March 2020, but there is limited information regarding potentially unrecognized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections before the first reported case. We utilized a sample pooling strategy to screen for SARS-CoV-2 RNA in de-identified, respiratory pathogen-negative nasopharyngeal specimens from 3,040 patients across our NYC health system who were evaluated for respiratory symptoms or influenza-like illness during the first 10 weeks of 2020. We obtained complete SARS-CoV-2 genome sequences from samples collected between late February and early March. Additionally, we detected SARS-CoV-2 RNA in pooled specimens collected in the week ending 25 January 2020, indicating that SARS-CoV-2 caused sporadic infections in NYC a full month before the first officially documented case. medRxiv:2021.02.08.21251303

Acknowledging Mount Sinai in Your Work

Utilizing S10 BODE and CATS partitions requires acknowledgements of support by NIH in your publications. To assist, we have provided exact wording of acknowledgements required by NIH for your use.

Research at Mount Sinai

Our mission is to accelerate scientific discovery at Mount Sinai by providing researchers with a scalable high performance computational and data infrastructure along with human expertise for efficient and effective use of these resources. We partner with both internal and external scientists on innovative research to pursue new scientific opportunities, and actively strive for broader engagement and industrial partnerships with the local and state communities for education and workforce development.

Examples of incredible research being done on Mount Sinai Scientific Computing machines include:

 

Computational Structural Biology of Membrane Proteins

Neuroscience

Precision Medicine

 

These services are available through Scientific Computing and Data for your research needs:

Research Data Services
Mount Sinai’s Research Data Services department provides services and resources for data management, specimen management, scheduling for shared resource facilities, and data mining and data marts. We provide both self-service and custom electronic data capture systems for clinical trials.

Mount Sinai Data Warehouse
The Mount Sinai Data Warehouse (MSDW) consists of clinical, operational, and financial data derived from the patient care processes of The Mount Sinai Hospital and The Mount Sinai Faculty Practice Associates. Detailed inpatient and outpatient data are extracted from transactional systems, transformed and loaded into MSDW nightly. MSDW contains data on over two million patients sourced from over 20 transactional systems since 2003.