Bioinformatics Lab
kitchong@jbnu.ac.kr

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iSS-CNN: Identifying Splicing Sites Using Convolution Neural Network

Input sequence: The input length is fixed at 140nt in Fasta format





Splicing Donor Site (SDS)
Splicing Acceptor Site (SAS)

Upload file




Splicing Donor Site (SDS)
Splicing Acceptor Site (SAS)


Please uploade a Fasta file containg sequences for prediction

Datasets

You can download the datasets used for this tools from here:

Dataset

Citation

Tayara, Hilal, Muhammad Tahir, and Kil To Chong. "iSS-CNN: Identifying splicing sites using convolution neural network." Chemometrics and Intelligent Laboratory Systems 188 (2019): 63-69.

Contact us

Address

Engineering, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do, 54896 Republic of Korea

Email

Prof. Kil To Chong: kitchong@jbnu.ac.kr
Dr. Hilal Tayara: hilaltayara@jbnu.ac.kr