LinDing Group

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.
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Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions.
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iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition.
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The construction and analysis of lysogenic/lytic genetic regulatory network of phage λ
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iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features
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iLoc-miRNA: Extracellular/Intracellular miRNA Prediction Using Deep BiLSTM with Attention Mechanism
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iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators
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Identify origin of replication in Sccharomyces cerevisiae using two-step feature selection technique
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Foundations

Supported by the National Nature Scientific Foundation of China, the Sichuan Provincial Science Fund for Distinguished Young Scholars, the Applied Basic Research Program of Sichuan Province and the Fundamental Research Funds for the Central Universities.

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.

Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions.

iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition.

The construction and analysis of lysogenic/lytic genetic regulatory network of phage λ

iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features

iLoc-miRNA: Extracellular/Intracellular miRNA Prediction Using Deep BiLSTM with Attention Mechanism

iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators

Identify origin of replication in Sccharomyces cerevisiae using two-step feature selection technique

Foundations