ArticleNature communications2017
A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Proxy panels enable privacy-aware outsourcing of genotype imputation.Genome research · 2025Article
- Multi-metric locality sensitive hashing enhances alignment accuracy of bisulfite sequencing reads: BisHash.Bioinformatics advances · 2025Article
- Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation.Bioinformatics (Oxford, England) · 2023Article
- Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation.bioRxiv : the preprint server for biology · 2023Article
- Efficient privacy-preserving variable-length substring match for genome sequence.Algorithms for molecular biology : AMB · 2022Article
- Weighted minimizer sampling improves long read mapping.Bioinformatics (Oxford, England) · 2020Article
- A big data approach to metagenomics for all-food-sequencing.BMC bioinformatics · 2020Article
- CHOP: haplotype-aware path indexing in population graphs.Genome biology · 2020Article
- When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data.Genome biology · 2019Review
- Indexed variation graphs for efficient and accurate resistome profiling.Bioinformatics (Oxford, England) · 2018Article
- A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases.Journal of computational biology : a journal of computational molecular cell biology · 2018Article
- Cloud computing applications for biomedical science: A perspective.PLoS computational biology · 2018Article
- A Secure Alignment Algorithm for Mapping Short Reads to Human Genome.Journal of computational biology : a journal of computational molecular cell biology · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Low-cost clouds can alleviate the compute and storage burden of the genome sequencing data explosion. However, moving personal genome data analysis to the cloud can raise serious privacy concerns. Here, we devise a method named Balaur, a privacy preserving read mapper for hybrid clouds based on locality sensitive hashing and kmer voting. Balaur can securely outsource a substantial fraction of the computation to the public cloud, while being highly competitive in accuracy and speed with non-private state-of-the-art read aligners on short read data. We also show that the method is significantly faster than the state of the art in long read mapping. Therefore, Balaur can enable institutions handling massive genomic data sets to shift part of their analysis to the cloud without sacrificing accuracy or exposing sensitive information to an untrusted third party.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.