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Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

Expressed Sequence Tags (ESTs) are short nucleotide subsequences of expressed genes, which can be rapidly generated in large quantities. With improving sequencing technology, the number of ESTs available in open-access databases is exponentially increasing. A method of gene family identification that makes use of this data can be a valuable tool in genome analysis. We have previously demonstrated such a technique which uses negative selection patterns (NSP) between family members to screen out potential paralogs from contigs assembled from ESTs (Frank et al., 2006; Frank et al., 2008). This strategy is now fully automated and tested on 10 gene families in Arabidopsis thaliana to see how the resulting putative paralogs compare with the actual gene sequences in this fully sequenced genome. The automation correctly identifies specific member genes in these families using only EST data. These results suggest that this automated strategy can identify many gene families in species where they are as yet undiscovered.

Abstract
Background
Methods
Results
Discussion
Conclusion
References
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