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 11 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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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