Our Software & Database
detect somatic mutation and predict potential tumor-specific mutated antigens.
a novel software based on the RNNs which can predict peptide binding affinity with HLA alleles pan-specifically.
MATTE is a python package aiming to analyze transcriptome from samples with different phenotypes in a module view.
DeepCIP is a Deep learning method for CircRNA IRES Prediction.
the database about Tumor-Specific NeoAntigens.
a web browser about predicted driver sites and corresponding driver genes with statistical parameters.
predict all the potential B/T cell epitopes for 2019-nCoV, RaTG13-CoV, SARS-CoV and MERS-CoV.
DeepTAP is a novel RNN-based, using BiGRU, developed for the accurate prediction of TAP-binding peptides.
An ultra fast tool for detecting Spatial dependent Expressed Genes
OncoTriMD is an integrated database that enables streamlined and simultaneous searches for multi-scale cancer drivers.
T-cell Receptor Interactive Database, provides landscape of experimentally verified interactive and non-interactive TCR-antigen pairs
CovEpiAb is a curated database and analysis resource for human coronaviruses (HCoVs) immune epitopes and antibodies.
Integrating Multi-Omics and Multi-Dimensional Gene Network for Cancer Driver Gene Identification based on Graph Attention Network Model
(●'◡'●)ﾉ This website has running： 0 d 0 h 55 min 52 s