
Research Article
Using Alignment Chain to Boost Genetic Sequence Alignment Process
@INPROCEEDINGS{10.1007/978-3-031-80713-8_6, author={Zhuochen Yang and Liwei Liu and Can Liu and Jin Zhang and Shaolong Chen}, title={Using Alignment Chain to Boost Genetic Sequence Alignment Process}, proceedings={Data Information in Online Environments. 4th EAI International Conference, DIONE 2023, Nanchang, China, November 25--27, 2023, Proceedings}, proceedings_a={DIONE}, year={2025}, month={2}, keywords={Sequence alignment alignment chain blockchain hierarchical structure}, doi={10.1007/978-3-031-80713-8_6} }
- Zhuochen Yang
Liwei Liu
Can Liu
Jin Zhang
Shaolong Chen
Year: 2025
Using Alignment Chain to Boost Genetic Sequence Alignment Process
DIONE
Springer
DOI: 10.1007/978-3-031-80713-8_6
Abstract
The rapid expansion of next-generation sequencing (NGS) technologies has led to a substantial increase in the amount of genetic sequence data. In the field of bioinformatics, variant analysis depends heavily on computationally demanding procedures, such as sequence alignment. Although the use of blockchain technology seems encouraging for executing read mapping in this domain, it poses specific challenges when it comes to examining genetic sequences. This paper presents a new blockchain-based system for aligning genetic sequences, with the goal of improving efficiency in read mapping in distributed networks that have multiple computing nodes. The alignment chain is structured into three tiers that incorporate blockchain features and hierarchical organization, including masters, verifiers, and aligners, which enable streamlined management and processing of sequence data. An alignment workflow has been established to improve the functionality of the alignment chain in use. In addition, we performed sequence alignment on a variety of processors to assess the chain's processing performance with regards to its potential implementation in future blockchain systems. This study contributes to the field of genetic sequence alignment by utilizing blockchain technology and a hierarchical structure, thereby facilitating better read mapping operations in distributed networks. The results emphasize the need for further exploration and refinement to enhance the overall performance and scalability of the alignment chain.