FishExp
FishExp provides integrated analysis of gene expression and alternative splicing in fish by leveraging public RNA-seq datasets for comparative and functional studies.
Key Features:
- Extensive dataset coverage: Contains 26,081 RNA-seq experiments across 44 fish species.
- Query and alignment support: Supports queries by gene identifiers, gene symbols, functional terms, and BLAST alignments.
- Differential expression analysis: Performs differential gene expression analysis on RNA-seq datasets.
- Alternative splicing analysis: Detects and analyzes alternative splicing events across samples.
- Functional enrichment analysis: Provides functional enrichment analysis options for interpreting gene- and splicing-level changes.
- Visualization at multiple levels: Offers visualization of genes, transcripts, and splicing events.
- Curated metadata and standardized processing: Integrates manually curated sample information and applies standardized data processing protocols to ensure consistency.
Scientific Applications:
- Ecological and conservation genomics: Enables investigation of gene expression and splicing responses relevant to fish ecology and conservation.
- Comparative and biomedical research: Facilitates study of gene regulation and splicing mechanisms with potential relevance across species, including humans.
- Aquaculture and industry: Supports analyses that can inform aquaculture practices and investigations into traits related to nutritional quality or production.
Methodology:
Integrates public RNA-seq experiments, uses manually curated sample metadata, and applies uniform, standardized data-processing protocols for consistent gene expression and alternative splicing analysis.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 11/28/2021
- Last Updated:
- 11/28/2021
Operations
Publications
Tan S, Wang W, Jie W, Liu J. FishExp: a comprehensive database and analysis platform for gene expression and alternative splicing of fish species. Unknown Journal. 2021. doi:10.1101/2021.07.01.450804.