Promoter Prediction on a Genomic Scale—The Adh Experience | Zendy

Uwe Ohler | Zendy

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Promoter Prediction on a Genomic Scale—The Adh Experience

Author(s) -

Uwe Ohler

Publication year - 2000

Publication title -

genome research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.556

H-Index - 297

eISSN - 1549-5469

pISSN - 1088-9051

DOI - 10.1101/gr.10.4.539

Subject(s) - biology , annotation , computational biology , markov chain , genome , genetics , identification (biology) , hidden markov model , genomic dna , scale (ratio) , genome project , dna , artificial intelligence , computer science , gene , machine learning , cartography , botany , geography

We describe our statistical system for promoter recognition in genomic DNA with which we took part in the Genome Annotation Assessment Project (GASP1). We applied two versions of the system: the first uses a region-based approach toward transcription start site identification, namely, interpolated Markov chains; the second was a hybrid approach combining regions and signals within a stochastic segment model. We compare the results of both versions with each other and examine how well the application on a genomic scale compares with the results we previously obtained on smaller data sets.

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