StartScan

StartScan detects translation initiation sites (TIS) within genomic sequences to improve genomic-level TIS identification by addressing pseudo-TIS–related false positives.


Key Features:

  • Genomic-Level Focus: Targets TIS identification in genomic sequences rather than transcript data, explicitly handling the increased occurrence of pseudo-TIS.
  • Performance Evaluation: Compares various 'simple' TIS recognition methods against state-of-the-art transcript-based models to assess accuracy on genomic data.
  • Innovative Model: Integrates strengths of evaluated simple methods into a novel model achieving a false positive rate of 0.125 and sensitivity of 0.80 on well-annotated human chromosome 21.
  • Utility in Gene Prediction: Improves gene prediction and genome annotation by providing more accurate TIS locations for genomic analyses.

Scientific Applications:

  • Gene Prediction: Provides accurate TIS locations to enhance gene prediction efforts using genomic sequences.
  • Genome Annotation: Enhances genome annotation accuracy by reducing false positives and improving TIS detection sensitivity.
  • Method Evaluation: Enables comparative assessment of TIS recognition methods specifically at the genomic level.

Methodology:

Evaluates various 'simple' TIS recognition methods against state-of-the-art transcript-based models and integrates selected methods into a novel model.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
5/17/2016
Last Updated:
11/25/2024

Operations

Publications

Saeys Y, Abeel T, Degroeve S, Van de Peer Y. Translation initiation site prediction on a genomic scale: beauty in simplicity. Bioinformatics. 2007;23(13):i418-i423. doi:10.1093/bioinformatics/btm177. PMID:17646326.

Documentation