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CNNProm - Classification of Prokaryotic and Eukaryotic Promoters and non-promoter sequences

Example (Human TATA model)

Paste set of sequences in fasta format for bacteria 81 bases and plant or human 251 bases long:

Alternatively, load a local file with sequence in Fasta format:
Local file name:

Select model:
Escherichia coli
Bacillus subtilis
Human TATA
Human non-TATA
Mouse TATA
Mouse non-TATA
Arabidopsis TATA
Arabidopsis non-TATA

PS: This page is for demonstration of classification promoter and non-promoter sequences by CNN models and require sequences of exact length (81 for bacteria and 251 for eukaryotes). Search for promoters in a given sequences of variable length see here.

[Program's page]
[Example (Escherichia coli model)]

The approach implemented in the program is described at:
Umarov R.K, Solovyev V.V. (2017) Prediction of Prokaryotic and Eukaryotic Promoters Using Convolutional Deep Learning Neural Networks. PLoS ONE, http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171410


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Last modification date: 23 Aug 2017