Campus Units

Animal Science

Document Type

Article

Publication Version

Published Version

Publication Date

1-8-2019

Journal or Book Title

Nucleic Acids Research

Volume

47

Issue

D1

First Page

D701

Last Page

D710

DOI

10.1093/nar/gky1084

Abstract

Successful development of biological databases requires accommodation of the burgeoning amounts of data from high-throughput genomics pipelines. As the volume of curated data in Animal QTLdb (https://www.animalgenome.org/QTLdb) increases exponentially, the resulting challenges must be met with rapid infrastructure development to effectively accommodate abundant data curation and make metadata analysis more powerful. The development of Animal QTLdb and CorrDB for the past 15 years has provided valuable tools for researchers to utilize a wealth of phenotype/genotype data to study the genetic architecture of livestock traits. We have focused our efforts on data curation, improved data quality maintenance, new tool developments, and database co-developments, in order to provide convenient platforms for users to query and analyze data. The database currently has 158 499 QTL/associations, 10 482 correlations and 1977 heritability data as a result of an average 32% data increase per year. In addition, we have made >14 functional improvements or new tool implementations since our last report. Our ultimate goals of database development are to provide infrastructure for data collection, curation, and annotation, and more importantly, to support innovated data structure for new types of data mining, data reanalysis, and networked genetic analysis that lead to the generation of new knowledge.

Comments

This article is published as Hu, Zhi-Liang, Carissa A. Park, and James M. Reecy. "Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB." Nucleic acids research 47, no. D1 (2018): D701-D710. doi: 10.1093/nar/gky1084.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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