🙋🏼About Me
Hello! I am Pinglu Zhang (张平路), a master’s student at the Institute of Fundamental and Frontier Sciences (IFFS), University of Electronic Science and Technology of China (UESTC) (电子科技大学,基础与前沿研究院), majoring in Computer Science and Technology.
I am also part of a joint training program (联合培养) at the Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China (UESTC) (电子科技大学,长三角研究院).
I am conducting research on Sequence Alignment at the Malab laboratory under the supervision of Prof. Quan Zou (邹权教授). My work focuses on developing multiple sequence alignment for large-scale data, mulitiple genome alignment, centromere region alignment, and related topics .
Researchers interested in collaboration are welcome to contact me at pingluzhang@outlook.com.
🔥 News
- 2024.09.08: 🎉🎉 New Homepage was released!
📝 Publications
Selected Publication
FMAlign2: a novel fast multiple nucleotide sequence alignment method for ultralong datasets
Pinglu Zhang, Huan Liu, Yanming Wei, Yixiao Zhai, Qinzhong Tian, Quan Zou*
Bioinformatics, 2024, CCF-B, IF2023=4.4, Q1.
- FMAlign2 is an improved MSA method that uses a suffix array and vertical division strategy to align ultralong sequences in parallel.
- FMAlign2 reduces processing time while maintaining accuracy, handling sequences up to billions in length efficiently.
Other Publications
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PS-mixer: A polar-vector and strength-vector mixer model for multimodal sentiment analysis, H Lin†, P Zhang†, J Ling, Z Yang*, LK Lee, W Liu. Information Processing & Management, 2023, CCF-B, IF2022=8.6, Q1. Paper Code
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TPMA: A two pointers meta-alignment tool to ensemble different multiple nucleic acid sequence alignments, Y Zhai, J Chao, Y Wang, P Zhang, F Tang*, Q Zou*. PLOS Computational Biology, 2024, CCF-B, IF2023=3.8, Q1. Paper Code
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Application and Comparison of Machine Learning and Database-Based Methods in Taxonomic Classification of High-Throughput Sequencing Data, Q Tian, P Zhang, Y Zhai, Y Wang*, Q Zou*. Genome Biology and Evolution, 2024, IF2023=3.2, Q2. Paper Code
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TCM@MPXV: A Resource for Treating Monkeypox Patients in Traditional Chinese Medicine, Xin Zhang, Feiran Zhou, Pinglu Zhang, Quan Zou* and Ying Zhang*. Current Bioinformatics, 2024, IF2023=2.4, Q2. Paper
🎖 Honors and Awards
- 2023.09 The First Prize (Ranked 1st Overall) in the CBC Data Challenge (CBC数据挑战赛全国一等奖).
📖 Educations
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2023.09 - (now): Master, Institute of Fundamental and Frontier Sciences (IFFS), University of Electronic Science and Technology of China (UESTC) (电子科技大学,基础与前沿研究院).
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2024.06 - (now): Master (Joint Program), Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China (UESTC) (电子科技大学,长三角研究院).
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2019.09 - 2023.06: Bachelor, School of Computer Science, Guangdong University of Technology (GDUT) (广东工业大学,计算机学院).