TripletGO is an algorithm for predicting Gene Ontology (GO) of genes. It consists of four pipelines to detect GO terms through (1) expression profile similarity based on triplet network, (2) genetic sequence alignment, (3) protein sequence alignment, and (4) naïve probability. The final function insights are a combination of the four pipelines through neural network.
(view an example of TripletGO prediction)
Triplet On-line Server
- Download the standalone package for TripletGO.
- Download data libraries, including expression data, genetic sequences, and mapped protein sequences.
- Download benchmark datasets for 8 species, including Human, Mouse, Arabidopsis, Rat, Fly, Budding Yeast, Fission Yeast, and Nematoda
Yi-Heng Zhu, Chengxin Zhang, Yan Liu, Gilbert S. Omenn, Peter L. Freddolino, Dong-Jun Yu, Yang Zhang.
TripletGO: improving accuracy of gene function annotation by integrating triplet-network
based transcript expression profiling with protein sequence alignment.
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