Author

Tong Liu

Huazhong Agricultural University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 2 Genomics· 1 Molecular Biology· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:benchmarking· 3 Organism:E. coli· 3 Organism:human· 3 Approach:experimental assay· 2 Assay:Hi-C· 2 Organism:mouse· 2 Organism:C. elegans· 1

Frequent Co-Authors

Bin‐Guang MaiD· 2 shared Kang-Jian Hua· 2 shared Amin R Mazloom· 1 shared Chen Zhao· 1 shared Daniel S Grosu· 1 shared Eyad Almasri· 1 shared Graham McLennan· 1 shared Grant Hogg· 1 shared

Activity by Year

2015-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Bin‐Guang MaORCID

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Author profile →

6 papers

Recent·Most cited

Tachykinin1-expressing neurons in the parasubthalamic nucleus control active avoidance learning

Ruining Hu, Nannan Wu, Tong Liu, Liuting Zou, Shiyu Lv, Xiao Huang, Rongfeng K. Hu

This study identifies the parasubthalamic nucleus and its Tac1-expressing neurons as critical for active avoidance learning through optogenetic and imaging experiments.

bioRxiv · Nov 3, 2024 · PreprintNeuroscience

Evaluation of chromosome structure modelling tools in bacteria

Tong Liu, Qin-Tian Qiu, Kang-Jian Hua, Bin‐Guang Ma

This paper evaluates and classifies bacterial chromosome structure reconstruction tools using 3C/Hi-C and microscopy data, highlighting challenges and future directions.

bioRxiv · Oct 26, 2023 · PreprintBioinformatics

SPPUSM: An MS/MS spectra merging strategy for improved low-input and single-cell proteome identification

Yongle Chen, Zhuokun Du, Hongxian Zhao, Wei Fang, Tong Liu, Yangjun Zhang, Wanjun Zhang, Weijie Qin

SPPUSM improves low-input and single-cell proteome identification by merging MS/MS spectra from multiple files to enhance detection and coverage.

Analytica Chimica Acta · Sep 7, 2023Peer-reviewedMolecular Biology

scHiMe: Predicting single-cell DNA methylation levels based on single-cell Hi-C data

Hao Zhu, Tong Liu, Zheng Wang

scHiMe predicts single-cell DNA methylation levels using single-cell Hi-C data and DNA sequences, achieving high accuracy and enabling cell-type classification.

Briefings in Bioinformatics · Jun 8, 2023Peer-reviewedBioinformatics

The Spatial Organization of Bacterial Transcriptional Regulatory Networks

Liu Tian, Tong Liu, Kang-Jian Hua, Xiao-Pan Hu, Bin‐Guang Ma

The paper investigates the spatial organization of bacterial transcriptional regulatory networks using chromatin interaction data from E. coli and B. subtilis, revealing stable spatial features under different conditions.

Microorganisms · Nov 30, 2022Peer-reviewedSystems Biology

Clinical Validation of a Non-Invasive Prenatal Test for Genome-Wide Detection of Fetal Copy Number Variants

Roy B Lefkowitz, John A Tynan, Tong Liu, Yijin Wu, Amin R Mazloom, Eyad Almasri, Grant Hogg, Vach Angkachatchai, Chen Zhao, Daniel S Grosu, Graham McLennan, Mathias Ehrich

This paper validates a non-invasive prenatal test for detecting fetal copy number variants across the genome with high sensitivity and specificity.

bioRxiv · Dec 4, 2015Genomics