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NNAlign-1.0 Server

OLD VERSION: the most updated version is 1.4


View the version history of this server. All the previous versions are available on line, for comparison and reference.

Instructions Output format Article abstract

Paste peptides in PEPTIDE format

or submit a file directly from your local disk:



Paste in evaluation examples

or upload evaluation examples:


Sample training data can be found HERE

Sample evaluation data in FASTA or PEPTIDE format

Instructions: Paste in or upload training examples to train the artificial neural networks. Upload an evaluation set on the right hand box to use the trained method on new data (sequences in FASTA format are automatically broken down into peptides). For details refer to the instructions & guidelines page


Please read the CBS access policies for information about limitations on the daily number of submissions.

Advanced options

Motif length

Flanking amino acids for NN training

Encode flanking region length
Encode peptide length
Processing of input data
Linear rescale
Log-transform

Cross-validation method
Exhaustive cross-validation
Fast evaluation

Stop training on best test-set performance
Number of training cycles

Number of hidden neurons

Number of NN architectures per iteration



Restrictions:
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Confidentiality:
The sequences are kept confidential and will be deleted after processing.


CITATIONS

For publication of results, please cite:



GETTING HELP

Scientific problems:        Technical problems: