SplicePort
SplicePort predicts splice sites in human and other mammalian nucleotide sequences and provides feature-based analysis to support studies of gene expression and alternative splicing.
Key Features:
- Splice-Site Prediction: Predicts donor and acceptor splice sites in nucleotide sequences using a catalog of optimized sequence-derived features.
- Feature Catalog: Maintains a comprehensive catalog of sequence-derived features optimized for human splice sites and applicable to other mammals.
- Feature Visualization: Generates visual representations of selected feature subsets or the complete feature set to indicate feature contributions to classification.
- Feature Clustering and Analysis: Clusters features and produces frequency-plot WebLogos for each cluster to reveal sequence motifs and splice-site signals.
- Search and Rank Features: Enables search and ranking of features to prioritize features based on their contribution to splice-site classification.
Scientific Applications:
- Gene expression and alternative splicing studies: Supports analysis of gene expression regulation and identification of alternative splicing events through splice-site prediction and feature analysis.
- Variant interpretation and genetic disorder research: Assists interpretation of sequence variants affecting splice sites and investigation of genetic disorders involving splicing defects.
- Motif discovery and validation: Facilitates discovery and validation of splice-site signals and sequence motifs via feature clustering and WebLogos.
Methodology:
Performs splice-site prediction on nucleotide sequences using a catalog of sequence-derived features; supports feature search and ranking, feature clustering, generation of frequency-plot WebLogos, and visualization of feature subsets.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 2/14/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Dogan RI, Getoor L, Wilbur WJ, Mount SM. SplicePort--An interactive splice-site analysis tool. Nucleic Acids Research. 2007;35(Web Server):W285-W291. doi:10.1093/nar/gkm407. PMID:17576680. PMCID:PMC1933122.