# Bioinformatics

> **NIH NIH P30** · SLOAN-KETTERING INST CAN RESEARCH · 2020 · $891,631

## Abstract

ABSTRACT
The primary function of the Bioinformatics Core is to provide bioinformatics services and infrastructure for the
MSK research community. This can range from providing complete analysis services beginning with raw data
and ending with publishable results or it can consist of assisting and supporting the growing number of
computational researchers with specific data analyses. A central mission is the creation and maintenance of
both a repository of robust, vetted software applications and pipelines that implement the current state-of-the-
art data analysis and a collection of well documented methods and best-practices. This ensures that critical
analysis steps are done in a reliable, reproducible, and understandable way, freeing the laboratory-based staff
to focus on the analysis that is specific to their particular experiment and saving them time and effort in re-
inventing well known bioinformatics processes. This also leads to a far more cost-effective process with greater
quality control. This consistency enables the institution to provide sharable and consistent results that can be
further used for integrative and pan-group analysis. The Core also plays a central role in training staff in both
methods and in the use of the institution’s high performance computing infrastructure.
Additionally, the Bioinformatics Core provides customized computational and statistical assistance, facilities
collaboration and integrative analysis via data and code sharing, enables access to institutional databases and
provides applications for the creation and curation of research data. The Core trains computational and
bioinformatics staff working in concert with other departments to develop and teach workshops and training
seminars. Finally, the Core works on the research and development of algorithmic best practices, evaluates
current applications and pipelines, and deploys new tools as new experimental methods and assays are
developed.

## Key facts

- **NIH application ID:** 9858294
- **Project number:** 5P30CA008748-54
- **Recipient organization:** SLOAN-KETTERING INST CAN RESEARCH
- **Principal Investigator:** Nicholas D Socci
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $891,631
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9858294

## Citation

> US National Institutes of Health, RePORTER application 9858294, Bioinformatics (5P30CA008748-54). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/9858294. Licensed CC0.

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