Liangjiang Wang

发表

Prediction of RNA-Binding Residues in Protein Sequences Using Support Vector Machines

Susan J. Brown, Liangjiang Wang, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features

Jack Y. Yang, Mary Yang, Liangjiang Wang, 2010, BMC Syst. Biol..

LipidomeDB Data Calculation Environment: Online Processing of Direct-Infusion Mass Spectral Data for Lipid Profiles

Shantan R. Marepally, Liangjiang Wang, R. Welti, 2011, Lipids.

Deep analysis of RNA N6-adenosine methylation (m6A) patterns in human cells

Liangjiang Wang, Jun Wang, 2020, NAR genomics and bioinformatics.

The novel lncRNA lnc-NR2F1 is pro-neurogenic and mutated in human neurodevelopmental disorders

Howard Y. Chang, Ryan A. Flynn, B. Coe, 2018, bioRxiv.

Sequence feature-based prediction of protein stability changes upon amino acid substitutions

Liangjiang Wang, A. Srivastava, S. Teng, 2010, BMC Genomics.

Prediction of LncRNA Subcellular Localization with Deep Learning from Sequence Features

Liangjiang Wang, B. Gudenas, Brian L. Gudenas, 2018, Scientific Reports.

The Genome of the Model Beetle and Pest Tribolium Castaneum Vertebrate-specific Orthologues Insect-specific Orthologues Homology Undetectable Similarity

Peer Bork, Alexandre Souvorov, Liangjiang Wang, 2022 .

Inefficient Reinitiation Is Responsible for Upstream Open Reading Frame–Mediated Translational Repression of the Maize R Gene

S. Wessler, Liangjiang Wang, S R Wessler, 1998, Plant Cell.

Identification and analysis of consensus RNA motifs binding to the genome regulator CTCF

Liangjiang Wang, Shuzhen Kuang, Liangjiang Wang, 2020, NAR genomics and bioinformatics.

Genomic signatures and gene networking: challenges and promises

Jack Y. Yang, Liangjiang Wang, Youping Deng, 2011, BMC Genomics.

Three-State Protein Stability Prediction from Sequence-Based Features

Liangjiang Wang, C. Schwartz, J. Guevara-Coto, 2017 .

Protein sector analysis for the clustering of disease-associated mutations

Liangjiang Wang, C. Schwartz, J. Guevara-Coto, 2014, BMC Genomics.

Deep sequence representation learning for predicting human proteins with liquid-liquid phase separation propensity and synaptic functions

Liangjiang Wang, Anqi Wei, 2022, BCB.

Prediction of Synaptically Localized RNAs in Human Neurons Using Developmental Brain Gene Expression Data

Liangjiang Wang, Anqi Wei, 2022, Genes.

Proteomics analysis of rice proteins up-regulated in response to bacterial leaf streak disease

Liangjiang Wang, W. Wang, Wei Wang, 2012, Journal of Plant Biology.

Proteomic analysis of blue light-induced twining response in Cuscuta australis

Liangjiang Wang, Dongxiao Li, Guo-guang Zhang, 2009, Plant Molecular Biology.

Mining Domain Association Rules from Protein-Protein Interaction Data

Liangjiang Wang, William H. Hsu, Susan J. Brown, 2006 .

Correlated Mutation in the Evolution of Catalysis in Uracil DNA Glycosylase Superfamily

Liangjiang Wang, Ye Yang, Weiguo Cao, 2017, Scientific Reports.

Identification of a uniquely expanded V1R (ORA) gene family in the Japanese grenadier anchovy (Coilia nasus)

Liangjiang Wang, Guoli Zhu, Wenqiao Tang, 2016, Marine Biology.

Overexpression of a new stress-repressive gene OsDSR2 encoding a protein with a DUF966 domain increases salt and simulated drought stress sensitivities and reduces ABA sensitivity in rice

Liangjiang Wang, Liang Chen, Wujing Wang, 2014, Plant Cell Reports.

Predicting protein sumoylation sites from sequence features

Liangjiang Wang, Hong Luo, S. Teng, 2012, Amino Acids.

The phenylpropanoid pathway and plant defence-a genomics perspective.

Liangjiang Wang, Richard A Dixon, R. Dixon, 2002, Molecular plant pathology.

A Genome-Wide Scenario of Terpene Pathways in Self-pollinated Artemisia annua.

Liangjiang Wang, Zhi-long Wang, Ming-an Sun, 2015, Molecular plant.

Tall fescue EST-SSR markers with transferability across several grass species

Liangjiang Wang, G. May, I. Eujayl, 2004, Theoretical and Applied Genetics.

Computational analysis of missense mutations causing Snyder‐Robinson syndrome

Zhe Zhang, Emil Alexov, Liangjiang Wang, 2010, Human mutation.

Prediction of LncRNA Subcellular Localization with Deep Learning from Sequence Features

Liangjiang Wang, Brian L. Gudenas, 2018, Scientific Reports.

Co-expression of long non-coding RNAs and autism risk genes in the developing human brain

Mary Yang, Steven B. Cogill, Anand K. Srivastava, 2018, BMC Systems Biology.

Gene Coexpression Networks in Human Brain Developmental Transcriptomes Implicate the Association of Long Noncoding RNAs with Intellectual Disability

Liangjiang Wang, Brian L. Gudenas, 2015, Bioinformatics and biology insights.

Integrative genomic analyses for identification and prioritization of long non-coding RNAs associated with autism

Liangjiang Wang, A. Srivastava, Brian L. Gudenas, 2017, PloS one.

Expression-based prediction of human essential genes and candidate lncRNAs in cancer cells

Liangjiang Wang, Yanzhang Wei, Shuzhen Kuang, 2020, Bioinform..

Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features

Jun Wang, Liangjiang Wang, Liangjiang Wang, 2020, BMC Bioinform..

Support vector machine model of developmental brain gene expression data for prioritization of Autism risk gene candidates

Steven B. Cogill, Liangjiang Wang, Liangjiang Wang, 2016, Bioinform..

Identification of a prototypical single-stranded uracil DNA glycosylase from Listeria innocua.

Liangjiang Wang, Ye Yang, Weiguo Cao, 2017, DNA repair.

MHC class I chain-related A: Polymorphism, regulation and therapeutic value in cancer.

Liangjiang Wang, Shuzhen Kuang, Xi Yang, 2018, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

Mapping the Proteome of Barrel Medic (Medicago truncatula)1,212

Liangjiang Wang, Lloyd W Sumner, Liangjiang Wang, 2003, Plant Physiology.

Identification of olfactory receptor genes in the Japanese grenadier anchovy Coilia nasus

Liangjiang Wang, Xiaomei Wang, Guoli Zhu, 2017, Genes & Genomics.

Comparative analysis of expressed sequences reveals a conserved pattern of optimal codon usage in plants

Liangjiang Wang, M. Roossinck, 2006, Plant Molecular Biology.

Concomitant Calcium Channelopathies Involving CACNA1A and CACNA1F: A Case Report and Review of the Literature

Liangjiang Wang, I. Helbig, L. Boccuto, 2023, Genes.

BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences

Liangjiang Wang, Susan J. Brown, Liangjiang Wang, 2006, Nucleic Acids Res..

Identification of genes and pathways involved in kidney renal clear cell carcinoma

Yunlong Liu, Dong Xu, Hamid R. Arabnia, 2014, BMC Bioinformatics.

Predicting siRNA potency with random forests and support vector machines

Liangjiang Wang, Caiyan Huang, Jack Y. Yang, 2010, BMC Genomics.

The WRKY transcription factor superfamily: its origin in eukaryotes and expansion in plants

Liangjiang Wang, Liangjiang Wang, Yuanji Zhang, 2005, BMC Evolutionary Biology.

OsSIDP366, a DUF1644 gene, positively regulates responses to drought and salt stresses in rice.

Liangjiang Wang, Min Li, Liang Chen, 2016, Journal of integrative plant biology.

De Novo Transcriptomes of Olfactory Epithelium Reveal the Genes and Pathways for Spawning Migration in Japanese Grenadier Anchovy (Coilia nasus)

Liangjiang Wang, Dong Liu, Guoli Zhu, 2014, PloS one.

Genome-wide prediction and analysis of human tissue-selective genes using microarray expression data

Jack Y. Yang, Liangjiang Wang, S. Teng, 2013, BMC Medical Genomics.

Structural assessment of the effects of Amino Acid Substitutions on protein stability and protein-protein interaction

Emil Alexov, Anand K. Srivastava, Liangjiang Wang, 2010, Int. J. Comput. Biol. Drug Des..

Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms

Yunlong Liu, Dong Xu, Hamid R. Arabnia, 2014, BMC Bioinformatics.

Co-expression Network Analysis of Human lncRNAs and Cancer Genes

Steven B. Cogill, Liangjiang Wang, 2014, Cancer informatics.

Predicting protein sumoylation sites from sequence features

Liangjiang Wang, Shaolei Teng, Liangjiang Wang, 2011, Amino Acids.

Identification of a uniquely expanded V1R (ORA) gene family in the Japanese grenadier anchovy (Coilia nasus)

Liangjiang Wang, Xiaomei Wang, Guoli Zhu, 2016, Marine Biology.

STRESS INDUCED FACTOR 2, a Leucine-Rich Repeat Kinase Regulates Basal Plant Pathogen Defense1[OPEN]

Liangjiang Wang, Zhigang Li, Hong Luo, 2018, Plant Physiology.

Metabolomics spectral formatting, alignment and conversion tools (MSFACTs)

Jian Yang, Liangjiang Wang, Lloyd W. Sumner, 2003, Bioinform..

Microarray data integration for genome-wide analysis of human tissue-selective gene expression

Liangjiang Wang, Liangjiang Wang, C. Schwartz, 2010, BMC Genomics.

Deep learning of the back-splicing code for circular RNA formation

Liangjiang Wang, Jun Wang, Liangjiang Wang, 2019, Bioinform..

Over-expression of a DUF1644 protein gene, SIDP361, enhances tolerance to salt stress in transgenic rice

Liangjiang Wang, Min Li, Liang Chen, 2016, Journal of Plant Biology.

BeetleBase: the model organism database for Tribolium castaneum

Yonghua Li, Liangjiang Wang, Susan J. Brown, 2006, Nucleic Acids Res..

Proteomics analysis of rice proteins up-regulated in response to bacterial leaf streak disease

Liangjiang Wang, Wei Wang, S. Teng, 2012, Journal of Plant Biology.

Prediction of DNA-binding residues from protein sequence information using random forests

Liangjiang Wang, Jack Y. Yang, Mary Qu Yang, 2009, BMC Genomics.

Prediction of lipid-interacting amino acid residues from sequence features

Jack Y. Yang, Liangjiang Wang, Stephanie Jimenez Irausquin, 2008, Int. J. Comput. Biol. Drug Des..

A Machine Learning Approach for Prediction of Lipid-Interacting Residues in Amino Acid Sequences

Liangjiang Wang, Stephanie Jimenez Irausquin, Liangjiang Wang, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Deep Learning of CTCF-Mediated Chromatin Loops in 3D Genome Organization

Liangjiang Wang, Shuzhen Kuang, Liangjiang Wang, 2019, ICCABS.

Deep Learning of Sequence Patterns for CCCTC-Binding Factor-Mediated Chromatin Loop Formation

Liangjiang Wang, Shuzhen Kuang, Liangjiang Wang, 2020, J. Comput. Biol..

Characterization and Optimization of Multiomic Single-Cell Epigenomic Profiling

Liangjiang Wang, N. Chia, A. Horvath, 2023, Genes.

Random forest-based prediction of protein sumoylation sites from sequence features

Hong Luo, Liangjiang Wang, Shaolei Teng, 2010, BCB '10.

Prediction of back-splicing sites reveals sequence compositional features of human circular RNAs

Jun Wang, Liangjiang Wang, Liangjiang Wang, 2017, 2017 IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS).

The genome of the model beetle and pest Tribolium castaneum

Susan J. Brown, Jeffery P. Demuth, Robert M. Waterhouse, 2008, Nature.

The novel lncRNA lnc-NR2F1 is pro-neurogenic and mutated in human neurodevelopmental disorders

Howard Y. Chang, Bradley P. Coe, Ryan A. Flynn, 2018, bioRxiv.

Overexpression of a new stress-repressive gene OsDSR2 encoding a protein with a DUF966 domain increases salt and simulated drought stress sensitivities and reduces ABA sensitivity in rice

Liangjiang Wang, Liang Chen, Wujing Wang, 2013, Plant Cell Reports.