Home About iAMPpred Run iAMPpred Help User Manual Contact

iAMPpred server

Paste the protein sequences in fasta format

Load Example Data      Clear Textarea

 

You are visitor no 21813

        Our Recent Publications

Meher PK , Sahu TK , Rao AR(2016), Prediction of donor splice sites using random forest with a new sequence encoding approach, BioData mining, 9:4


Meher PK , Sahu TK , Rao AR, Wahi, SD(2016), Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features, Algorithms for Molecular Biology, 11:16


Meher PK , Sahu TK , Rao AR, Wahi, SD(2016), A computational approach for prediction of donor splice sites with improved accuracy,Journal of Theoretical Biology, 404: 285–294


Meher PK , Sahu TK , Rao AR(2016), Performance evaluation of neural network, support vector machine and random forest for prediction of donor splice sites in rice, Indian Journal of Genetics and Plant Breeding, 76(2): 173-180


Meher PK , Sahu TK , Rao AR(2016), Identi?cation of species based on DNA barcode using k-mer feature vector and Random forest classi?er, Gene, http://dx.doi.org/10.1016/j.gene.2016.07.010


Meher PK , Sahu TK , Rao AR, Wahi, SD(2015), Determination of window size and identification of suitable method for prediction of donor splice sites in rice (Oryza sativa) genome, Journal of Plant Biochemistry and Biotechnology, 24(4): 385-392


Meher PK , Sahu TK , Rao AR, Wahi, SD(2014), A statistical approach for 5’ splice site prediction using short sequence motifs and without encoding sequence data, BMC Bioinformatics, 15: 362