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.

Documentation