Published April 2000
| public
Book Section - Chapter
Human and mouse gene structure: comparative analysis and application to exon prediction
Chicago
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Abstract
We describe a novel analytical approach to gene recognition based on cross-species comparison We first undertook a comparison of orthologous genomic look from human and mouse, studying the extent of similarity in the number, size and sequence of exons and introns We then developed an approach for recognizing genes within such orthologous regions, by first aligning the regions using an iterative global alignment system and then identifying genes based on conservation of exonic features at aligned positions in both species The alignment and gene recognition are performed by new programs called GLASS and ROSETTA, respectively ROSETTA performed well at exact identification of coding exons in 117 orthologous pairs tested.
Additional Information
© 2000 ACM. S B, B B and this work were supported in part by Merck, L P was supported by a PMMB fellowship and by an NIH training grant. E S L and J M were supported in part by a grant from the National Human Genome Research Institute We thank Bruce Birren, Ken Dewar, and Daniel Kleitman for helpful discussions We thank Eric Banks for support with software developmentAdditional details
- Eprint ID
- 74980
- DOI
- 10.1145/332306.332326
- Resolver ID
- CaltechAUTHORS:20170309-111631818
- Merck
- Program in Mathematics and Molecular Biology
- NIH Predoctoral Fellowship
- Created
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2017-03-13Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field