PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem

PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem

Abstract Background As one of the fundamental problems in bioinformatics, the double digest problem (DDP) focuses on reordering genetic fragments in a proper sequence. Although many algorithms for dealing with the DDP problem were proposed during the past decades, it is believed that solving DDP is...

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Bibliographic Details
Main Authors: Jingwen Suo, Lize Gu, Xingyu Yan, Sijia Yang, Xiaoya Hu, Licheng Wang
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Bioinformatics
Subjects:
Double digest problem
Privacy-preserving
Outsourcing computation
Order-preserving homomorphic index scheme
Quantum inspired genetic algorithm
Online Access:https://doi.org/10.1186/s12859-023-05157-8

Internet

https://doi.org/10.1186/s12859-023-05157-8

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