| URL: | http://ianimal.pro/ |
| Full name: | A cross-species omics knowledgebase for animals |
| Description: | IAnimal is a cross-species, multi-omics knowledgebase. It provides comprehensive structured multi-omics data for a wide range of animal species, abundant omics data mining and visualization tools, and intelligent integration analysis algorithms for multi-omics data. In the present version, IAnimal provides 61,191 WGS, RNA-Seq, ChIP-Seq, and ATAC-Seq individual information and genome annotation information for 21 species. |
| Year founded: | 2022 |
| Last update: | 20220915 |
| Version: | v1.0 |
| Accessibility: |
Accessible
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| Country/Region: | China |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
Sus scrofa
Bos taurus
Ovis aries
Equus caballus
Capra hircus
Equus asinus
Balaenoptera musculus
Mus musculus
Macaca mulatta
Canis familiaris
Felis catus
Camelus dromedarius
Loxodonta africana
Ursus thibetanus
Gallus gallus
Anas platyrhynchos
Anser cygnoides
Oryctolagus cuniculus
Ailuropoda melanoleuca
Panthera leo
Panthera tigris
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| Keywords: |
| University/Institution: | Huazhong Agricultural University |
| Address: | No.1,Shizishan Street · Hongshan District · Wuhan · Hubei Province · 430070 · P.R.China |
| City: | Wuhan |
| Province/State: | Hubei |
| Country/Region: | China |
| Contact name (PI/Team): | Yuhua Fu |
| Contact email (PI/Helpdesk): | yhfu@mail.hzau.edu.cn |
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IAnimal: a cross-species omics knowledgebase for animals. [PMID: 36300629]
With the exponential growth of multi-omics data, its integration and utilization have brought unprecedented opportunities for the interpretation of gene regulation mechanisms and the comprehensive analyses of biological systems. IAnimal (https://ianimal.pro/), a cross-species, multi-omics knowledgebase, was developed to improve the utilization of massive public data and simplify the integration of multi-omics information to mine the genetic mechanisms of objective traits. Currently, IAnimal provides 61 191 individual omics data of genome (WGS), transcriptome (RNA-Seq), epigenome (ChIP-Seq, ATAC-Seq) and genome annotation information for 21 species, such as mice, pigs, cattle, chickens, and macaques. The scale of its total clean data has reached 846.46 TB. To better understand the biological significance of omics information, a deep learning model for IAnimal was built based on BioBERT and AutoNER to mine 'gene' and 'trait' entities from 2 794 237 abstracts, which has practical significance for comprehending how each omics layer regulates genes to affect traits. By means of user-friendly web interfaces, flexible data application programming interfaces, and abundant functional modules, IAnimal enables users to easily query, mine, and visualize characteristics in various omics, and to infer how genes play biological roles under the influence of various omics layers. |