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GENSCAN was developed by Chris Burge in the research group of Samuel Karlin, Department of Mathematics, Stanford University. The program and the model that underlies it are described in: Burge, C. and Karlin, S. (1997) Prediction of complete gene structures in human genomic DNA.
In bioinformatics, GENSCAN is a program to identify complete gene structures in genomic DNA. It is a G HMM -based program that can be used to predict the location of genes and their exon - intron boundaries in genomic sequences from a variety of organisms. The GENSCAN Web server can be found at MIT.
GENSCAN was developed by Chris Burge in the research group of Samuel Karlin, Department of Mathematics, Stanford University. The program and the model that underlies it are described in: Burge, C. and Karlin, S. (1997) Prediction of complete gene structures in human genomic DNA.
GENSCAN is a bioinformatics software tool used to predict gene structures in genomic DNA sequences. It was developed by Chris Burge and Samuel Karlin at Stanford in the mid-1990s. GENSCAN is widely recognized for its ability to accurately predict the locations of genes and their component parts, suc.
Commercial use of the Genscan and GenomeScan gene identification programs requires a license from Stanford University. For information about how to obtain a license, please contact Imelda Oropeza (imelda.oropeza at stanford dot edu).
GENscan in high-quality scientific databases and software tools using Expasy, the Swiss Bioinformatics Resource Portal.
Genscan is a computational tool used for ab initio gene prediction, which identifies potential coding regions in genomic DNA sequences based solely on the statistical properties of the sequence itself.