Year: 2015
Type: article
Abstract: The Animal QTL Database (QTLdb; http://www.animalgenome.org/QTLdb) has undergone dramatic growth in recent years in terms of new data curated, data downloads and new functions and tools. We have focused our development efforts to cope with challenges arising from rapid growth of newly published data and end users' data demands, and to optimize data retrieval and analysis to facilitate users' research. Evidenced by the 27 releases in the past 11 years, the growth of the QTLdb has been phenomenal. Here we report our recent progress which is highlighted by addition of one new species, four new data types, four new user tools, a new API tool set, numerous new functions and capabilities added to the curator tool set, expansion of our data alliance partners and more than 20 other improvements. In this paper we present a summary of our progress to date and an outlook regarding future directions.
Source: Nucleic Acids Research
DOI: 10.1093/nar/gkv1233
Authors: Zhi-Liang Hu, Carissa A. Park, James M. Reecy
Institution: Iowa State University
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,992
Award: G29413528
OpenAlex ID: W2179534488