Comprehensive guide to the Animal Hormone Database platform
This platform provides comprehensive bioinformatics analysis tools for hormone-related research, including sequence analysis, omics data processing, structural prediction, and AI-powered literature mining.
| Module | Description | Access |
|---|---|---|
| Single-cell RNA-seq | Perform single-cell transcriptome analysis with clustering, differential expression, and cell type annotation. Supports standard scRNA-seq data formats. | Start → |
| BLAST Alignment | Sequence similarity search using BLAST algorithm. Supports nucleotide (blastn) and protein (blastp/blastx) queries with customizable parameters. | Start → |
| DNA Methylation | Analyze DNA methylation patterns from bisulfite sequencing data. Includes CpG island detection, differential methylation analysis, and visualization. | Start → |
| Transcriptome Analysis | RNA-seq differential expression analysis with statistical testing, gene set enrichment, pathway visualization, and volcano/MA plots. | Start → |
| KEGG Pathway | Pathway enrichment analysis using KEGG database. Identify significantly enriched pathways and visualize gene-pathway relationships. | Start → |
| AlphaFold2 Prediction | Protein structure prediction using AlphaFold2 algorithm. Submit protein sequences and obtain predicted 3D structures with confidence scores. | Start → |
| GNN Prediction | Graph Neural Network-based prediction of hormone-receptor interactions with confidence scoring and network visualization. | Start → |
| Phylogenetic Analysis | Cross-species comparison and evolutionary analysis of hormone genes. Build phylogenetic trees and analyze sequence conservation patterns. | Start → |
| Gene Prediction | Predict gene functions and hormone-related properties using Smith-Waterman alignment algorithm and machine learning models. | Start → |
| AI Literature Assistant | AI-powered Q&A system for bioinformatics and hormone research. Ask questions about analysis methods, interpretation, and literature. | Start → |
The platform provides curated hormone-related data resources:
General workflow for using analysis modules:
A: Depends on the module - FASTA/FASTQ for sequences, CSV/TXT for gene lists, and standard omics data formats. Check each module's documentation for specific requirements.
A: Processing time varies: BLAST takes seconds to minutes, while structural prediction and large-scale omics analysis may take hours depending on data size.
A: Registration is required to save analysis history and access advanced features. Guest users have limited access to basic functions.
A: The database focuses on animal hormones across multiple species. Most analysis tools are species-agnostic and work with any sequence or gene data.
A: Citation information is provided on the documentation page. Please cite the platform and relevant databases used in your analysis.
A: Use the AI Assistant for quick questions, check the documentation page for detailed guides, or contact our support team using the information below.
For technical support, bug reports, feature requests, or collaboration inquiries:
Response Time: We typically respond to inquiries within 24-48 hours on business days.