PredCRG: Prediction of circadian proteins using the proposed PredCRG...

In PredCRG: Computational Prediction of Proteins Encoded by Circadian Genes

Description

The user can predict the protein sequences as CRG (circadian protein) or non-CRG (non-circadian protein) with certain probability by supplying the test sequences.

Usage

PredCRG(seq_data)

Arguments

seq_data

Sequence dataset in FASTA format consisting of protein sequences with standard amino acid residues only. It must be an object of class AAStringSet which can be obtained by reading sequences with readAAStringSet available in Biostrings package.

Details

The user has to supply only the seq_data for which the prediction is to be made.

Value

A dataframe with three columns consisting of sequence name, predicted labels of sequences (CRG or non-CRG) and probabilities of prediction.

Author(s)

Prabina Kumar Meher, ICAR-Indian Agricultural Statsitics Research Institute, New Delhi-110012, INDIA

See Also

PredCRG_Enc, PredCRG_training,model1, model2,model3,model4

Examples

data(test)
tst <- test[1:10]
PredCRG(seq_data=tst)

PredCRG documentation built on Dec. 15, 2020, 5:35 p.m.