🙋🏼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    Zhongguancun Academy(北京中关村学院).

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

  • 2025.02.07:  🎉🎉 New article has been accepted by Genome Research!
  • 2024.12.30:  🎉🎉 I have been offered a joint PhD position at UESTC and Zhongguancun Academy.
  • 2024.09.08:  🎉🎉 New Homepage was released!

📝 Publications

Selected Publication

Genome Research 2025
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Fast sequence alignment for centromere with RaMA

Pinglu Zhang, Yanming Wei, Qinzhong Tian, Quan Zou, Yansu Wang*

Genome Research, 2025, 中科院1区, nature index journal, IF2024=6.24.

Paper  Code  

  • RaMA is a novel sequence alignment tool designed for centromeric regions, leveraging rare matches as anchors and a 2-piece affine gap cost to capture genetic evolution accurately.
  • RaMA utilizes parallel computing and the wavefront algorithm, achieving up to 13.66 times faster processing and using only 11% of UniAligner’s memory.
  • Additionally, RaMA introduces two innovative methods for defining reliable alignment regions, which further refine the accuracy of centromeric alignment statistics and provide more robust insights into genetic variations.
  • Downstream analysis of simulated data and HOR arrays demonstrates RaMA’s superior accuracy in capturing true HOR structures and defining reliable alignment regions.
Bioinformatics 2024
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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, 中科院3区, CCF-B, IF2024=4.4.

Paper  Code  

  • 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

🎖 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).
  • 2025.03 电子科技大学学术青苗.

📖 Educations