Out-licensing

CRASA Annotation of Human Genome and CRASA Web Server: Analysing and Annotating Large Genomic Sequences

The complexity reduction algorithm for sequence analysis (CRASA) applies a pattern-based progressive hierarchical data structure to facilitate a fast and efficient search mechanism. The method offers a high performance and parallel processing capability for analysing and annotating large genomic sequences. We tested CRASA for annotated genomic sequences in two separate datasets, and compared the results with other 15 annotation programmes (10 ab initio and 5 homology-based approaches) against the EST databases. CRASA excelled in both the sensitivity and specificity categories. We also applied CRASA to genomic analysis of whole human genome. The method identifies near to 20,000 gene loci that they were not annotated previously.

Conclusion

A novel algorithm has been developed with the capability for analysing and annotating large genomic sequences.

Relevance/Opportunity

CRASA can be utilised for genome annotation to identify gene's map and organization, to identify alternatively spliced genes and to uncover new genes. Patent no. TW238854. Please enquire regarding licensing or codevelopment partnerships quoting reference no. 12A-910531.

Registered

Issued TWI238854