iMarmot
iMarmot provides an integrative database for comparative and functional genomics of marmots, consolidating genomic sequences, synteny, orthologs, expression profiles, and differential expression analyses to support evolutionary and disease-related research.
Key Features:
- Species coverage: Contains extensive biological information on 14 marmot species.
- Genomic data: Includes genomic sequences for six marmot species to facilitate comparative analyses.
- Syntenic relationships and orthologs: Provides synteny maps and orthologous gene relationships among three marmot species.
- Expression profiles: Hosts expression datasets from various hibernators and plague hosts for comparative transcriptomics.
- Differentially Expressed Genes (DEGs) module: Enables visualization and analysis of gene expression changes in hibernators and plague hosts.
- Sequence alignment tools: Supports sequence comparison using BLAST, Muscle, GeneWise, and Lastz.
- Genome browser: Integrates JBrowse for genome-level visualization of annotations and sequence features.
Scientific Applications:
- Comparative genomics: Enables analysis of genomic sequences, synteny, and orthologs to study evolutionary relationships among marmots.
- Functional genomics: Uses expression profiles and DEGs analyses to investigate gene function and regulatory changes during hibernation and in response to plague.
- Public health and zoonosis research: Supports studies on marmot-associated plague and zoonotic disease transmission through integrated genomic and expression data.
Methodology:
The platform performs KEGG and GO enrichment analysis, Principal Component Analysis (PCA), sequence alignment using BLAST, Muscle, GeneWise, and Lastz, and genome visualization with JBrowse.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 2/3/2021
Operations
Publications
Liu B, Bai L, Yu Q, Hu F, Wu J, Zhao S, Wang R, Wang W, Tao Y, Fan J, Liu E. iMarmot: an integrative platform for comparative and functional genomics of marmots. BMC Genomics. 2020;21(1). doi:10.1186/s12864-020-6697-7. PMID:32228437. PMCID:PMC7104516.
PMID: 32228437
PMCID: PMC7104516
Funding: - Natural Science Foundation of Shaanxi Provincial Department of Education: 2014PT013
- China Postdoctoral Science Foundation Grant: 2016M590954