Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens

Our computational approach aims to reduce the costs of large-scale ancestry testing by up to 4-fold in many real-life scenarios while not compromising accuracy. We hope this method will allow more efficient large-scale ethnicity screenings.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-07-24
DOI
https://doi.org/10.1186/s12859-025-06192-3
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens

Noam Shental, Elior Avraham
BMC Bioinformatics
Molecular Biology Techniques and Applications
article

Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens

Noam Shental, Elior Avraham
article en

Abstract

Our computational approach aims to reduce the costs of large-scale ancestry testing by up to 4-fold in many real-life scenarios while not compromising accuracy. We hope this method will allow more efficient large-scale ethnicity screenings.

BMC BioinformaticsVol. 26(1)
Open University of Israel (IL)
Openalex Percentile: Top 84%
Molecular Biology Techniques and Applications
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Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens — Noam Shental, Elior Avraham · BMC Bioinformatics (2025) | TGRS Research Map | TGRS