Tao Jiang

Orcid: 0000-0002-0673-8503

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, China (PhD 2019)


According to our database1, Tao Jiang authored at least 19 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
SVHunter: long-read-based structural variation detection through the transformer model.
Briefings Bioinform., 2025

2024
DIRMC: a database of immunotherapy-related molecular characteristics.
Database J. Biol. Databases Curation, January, 2024

Kled: an ultra-fast and sensitive structural variant detection tool for long-read sequencing data.
Briefings Bioinform., 2024

SVDF: enhancing structural variation detect from long-read sequencing via automatic filtering strategies.
Briefings Bioinform., 2024

miniSNV: accurate and fast single nucleotide variant calling from nanopore sequencing data.
Briefings Bioinform., 2024

Comprehensive evaluation of haplotype phasing tools with different strategies across diverse sequence technologies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Comprehensive Benchmarking of Genotype Imputation Tools Using a Large-Scale Chinese Reference Panel.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
BIR: Biomedical Information Retrieval System for Cancer Treatment in Electronic Health Record Using Transformers.
Sensors, December, 2023

Reply: Correspondence on NanoVar's performance outlined by Jiang T. et al. in 'Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation'.
BMC Bioinform., December, 2023

Identifying cancer driver genes using a two-stage random walk with restart on a gene interaction network.
Comput. Biol. Medicine, May, 2023

Comprehensive evaluation of RNA-seq alignment methods based on long-read sequencing data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Evaluation of classification in single cell atac-seq data with machine learning methods.
BMC Bioinform., 2022

Comparison of the Nanopore and PacBio sequencing technologies for DNA 5-methylcytosine detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation.
BMC Bioinform., 2021

SKSV: ultrafast structural variation detection from circular consensus sequencing reads.
Bioinform., 2021

2020
Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
rMETL: sensitive mobile element insertion detection with long read realignment.
Bioinform., 2019

2018
rCANID: read Clustering and Assembly-based Novel Insertion Detection tool.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
rMFilter: acceleration of long read-based structure variation calling by chimeric read filtering.
Bioinform., 2017


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