Use of the 'Perceptron' algorithm to distinguish translational initiation sites in E. coli

We have used a "Perceptron" algorithm to find a weighting function which distinguishes E. coli translational initiation sites from all other sites in a library of over 78,000 nucleotides of mRNA sequences. The "Perceptron" examined sequences as linear representations. The "P...

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Bibliographic Details
Published in:Nucleic acids research 1982-05, Vol.10 (9), p.2997-3011
Main Authors: Stormo, G.D, Schneider, T.D, Gold, L, Ehrenfeucht, A
Format: Article
Language:English
Subjects:
algorithms
Base Sequence
computer software
Escherichia coli
Escherichia coli - genetics
gene beginnings
genes
Mathematics
messenger RNA
messenger rna libraries
Models, Genetic
nucleotide sequences
Peptide Chain Initiation, Translational
ribosomes
ribosomes binding sites
RNA, Messenger - genetics
translation
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Summary:We have used a "Perceptron" algorithm to find a weighting function which distinguishes E. coli translational initiation sites from all other sites in a library of over 78,000 nucleotides of mRNA sequences. The "Perceptron" examined sequences as linear representations. The "Perceptron" is more successful at finding gene beginnings than our previous searches using "rules" (see previous paper). We note that the weighting function can find translational initiation sites within sequences that were not included in the training set.
ISSN:0305-1048
1362-4962
DOI:10.1093/nar/10.9.2997