Goose multi-omics database: A comprehensive multi-omics database for goose genomics

Multi-omics has helped elucidate the gene expression patterns and genomic variations closely associated with economically significant traits in geese. Despite the substantial genomic data generated through extensive goose studies, a unified platform for integrating these datasets is lacking. To address this gap, we introduced the Goose Multi-omics Database (GMD), which is accessible at http://goosedb.com/. The GMD is a comprehensive resource enabling streamlined search, analysis, and visualization of genetic information through a unified interface, providing insights into phenotypic traits, gene sequences, structures, expression profiles, genomic variations, gene families, homology, and collinearity. Equipped with robust analytical tools such as GBrowse and BLAST, the GMD facilitates rapid access to target gene information, significantly enhancing the efficiency and productivity of genomic research. By serving as a versatile and intuitive online repository, the GMD offers transformative potential for advancing goose biology, fostering multi-omics investigations, and integrating cutting-edge methodologies such as deep learning to accelerate discoveries in goose genomics.

Authors

Institutions

Publication Details

Journal
Poultry Science
Published
2025-01-23
DOI
https://doi.org/10.1016/j.psj.2025.104842
Citations
3
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
5.45

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Goose multi-omics database: A comprehensive multi-omics database for goose genomics

Lin Ma, Guangliang Gao, Xianzhi Zhao, Jiahe Sun et al.
3 citations
Poultry Science
Genetic Mapping and Diversity in Plants and Animals
5.45
article

Goose multi-omics database: A comprehensive multi-omics database for goose genomics

Lin Ma, Guangliang Gao, Xianzhi Zhao, Jiahe Sun, Xianwen Wu, Mingjiang Huang, Youhui Xie, Haiwei Wang, Qigui Wang, Yì Wáng, Jian Wang, Xiaoli Ye, Chao Wang, Zuohua Liu, Yi Luo, Keshan Zhang, Jiajia Xue, Zhuping Chen, Ying Chen
article en
3 citations

Abstract

Multi-omics has helped elucidate the gene expression patterns and genomic variations closely associated with economically significant traits in geese. Despite the substantial genomic data generated through extensive goose studies, a unified platform for integrating these datasets is lacking. To address this gap, we introduced the Goose Multi-omics Database (GMD), which is accessible at http://goosedb.com/. The GMD is a comprehensive resource enabling streamlined search, analysis, and visualization of genetic information through a unified interface, providing insights into phenotypic traits, gene sequences, structures, expression profiles, genomic variations, gene families, homology, and collinearity. Equipped with robust analytical tools such as GBrowse and BLAST, the GMD facilitates rapid access to target gene information, significantly enhancing the efficiency and productivity of genomic research. By serving as a versatile and intuitive online repository, the GMD offers transformative potential for advancing goose biology, fostering multi-omics investigations, and integrating cutting-edge methodologies such as deep learning to accelerate discoveries in goose genomics.

Poultry ScienceVol. 104(3)
Southwest University (CN), Peking University (CN), Jiangsu Agri-animal Husbandry Vocational College (CN), Chongqing Academy of Animal Science (CN)
Natural Science Foundation of Chongqing, Centre Scientifique et Technique du Bâtiment, Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission, Modern Agricultural Technology Industry System of Shandong province
Openalex Percentile: Top 6%
Genetic Mapping and Diversity in Plants and Animals
5.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.