# Core B: Functional Annotation Core

> **NIH NIH P01** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2023 · $219,438

## Abstract

CORE B: Functional Annotation Core
ABSTRACT
The ultimate goal of the Program is to develop novel statistical methods to study cancer. One
important aspect of it is to understand the biology, or function, underlying the large amount of data
that will be analyzed. All four projects in this program will deal with large amount genetic and
protein data. Functional annotations to these datasets will be crucial for each project to properly
analyze the data and interpret the results. In the current funding period, the Core developed an
integrated annotation query system (AnnoQ, www.annoq.org) that incorporates existing external
annotation tools and resources, as well as in-house annotation infrastructure, including Peregrine
(www.peregrineproj.org), an enhancer to gene link database developed by this core. The system
allows researchers to quickly retrieve annotation data through either an interactive user interface
or a programmatic API. It is currently in beta release and is being used by many researchers
within USC.
We will continue to improve the system by focusing on data quality, system performance, and
user support. It will be our top priority to keep the annotation data up to date, and to maintain high
quality and accuracy of the data. Benchmarking studies will be designed to analyze and evaluate
the quality of the data. In additional, query software and packages using the AnnoQ system will
be developed and made available through Core C. With anticipated increase in data size and user
traffic, hardware upgrade and enhancement of internet security will become essential. Finally,
regular meetings with program members will allow us to provide proper training and ensure that
the system meets their needs.

## Key facts

- **NIH application ID:** 10707473
- **Project number:** 5P01CA196569-08
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** Huaiyu Mi
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $219,438
- **Award type:** 5
- **Project period:** 2016-07-01 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10707473

## Citation

> US National Institutes of Health, RePORTER application 10707473, Core B: Functional Annotation Core (5P01CA196569-08). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10707473. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*