SCOPE -- Suite for Computational identification Of Promoter Elements
What you can do:
A web server for practical de novo motif discovery.
Highlights:
- SCOPE is a novel parameter-free method for the de novo identification of potential regulatory motifs in sets of coordinately regulated genes.
- The SCOPE algorithm combines the output of three component algorithms, each designed to identify a particular class of motifs.
- Using an ensemble learning approach, SCOPE identifies the best candidate motifs from its component algorithms.
- In tests on experimentally determined datasets, SCOPE identified motifs with a significantly higher level of accuracy than a number of other web-based motif finders run with their default parameters.
- Because SCOPE has no adjustable parameters, the web server has an intuitive interface, requiring only a set of gene names or FASTA sequences and a choice of species.
- The most significant motifs found by SCOPE are displayed graphically on the main results page with a table containing summary statistics for each motif.
- Detailed motif information, including the sequence logo, PWM, consensus sequence and specific matching sites can be viewed through a single click on a motif.
- SCOPE's efficient, parameter-free search strategy has enabled the development of a web server that is readily accessible to the practising biologist while providing results that compare favorably with those of other motif finders.
Keywords:
- Base Sequence
- Conserved Sequence
- Molecular Sequence Data
- Pattern Recognition
- Sequence Alignment
- Sequence Analysis
- Sequence Homology
- Transcription Factors
- motif discovery
- motif
- regulatory motifs
- motifs
Literature & Tutorials:
This record last updated: 06-04-2008