# Curation

> **NIH NIH P41** · CINCINNATI CHILDRENS HOSP MED CTR · 2020 · $508,683

## Abstract

Summary:
Through high quality curation we aim to integrate the wealth of Xenopus data into a
single easily accessible computer framework that accelerates research, and facilitates
the translation of this large amount of information into meaningful knowledge. The data
in Xenbase must be comprehensive, accurate and up to date. Xenbase contains many
different data types including; genomes and gene models, DNA, RNA and protein
sequences, gene names and symbols, gene expression patterns, gene function,
anatomy, orthology, reagents (MOs and antibodies), investigator information,
phenotypes and disease associations. This data comes from the published literature,
direct community submissions and from other databases (e.g. NCBI, JGI, OMIM). In
order for the information in Xenbase to be computer readable, we index and annotate
data using ontologies and standardized procedures that are the accepted best practices
as shared across major model organism databases (MODs). This allows Xenopus data
to be compared to other animals and to human disease gene and phenotypes. The
majority of the curation effort is to read and annotate the published Xenopus literature.
Xenbase contains a corpus of ~46,000 Xenopus papers, mirroring PubMed, but to date
only about 10% of these have been curated, primarily for gene expression patterns.
Preliminary analysis indicate that ~11,000 uncurated papers are likely to contain
valuable high priority data and about 1,300 new Xenopus papers are published each
year. In the Curation Component we will annotate this Xenopus research data.

## Key facts

- **NIH application ID:** 9832152
- **Project number:** 5P41HD064556-10
- **Recipient organization:** CINCINNATI CHILDRENS HOSP MED CTR
- **Principal Investigator:** Aaron M Zorn
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $508,683
- **Award type:** 5
- **Project period:** — → 2021-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9832152

## Citation

> US National Institutes of Health, RePORTER application 9832152, Curation (5P41HD064556-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9832152. Licensed CC0.

---

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