Fast and accurate relatedness estimation from high-throughput sequencing data in the presence of inbreeding | Zendy

Kristian Hanghøj | Zendy; Ida Moltke | Zendy; Philip Alstrup Andersen | Zendy; Andrea Manica | Zendy; Thorfinn Sand Korneliussen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Fast and accurate relatedness estimation from high-throughput sequencing data in the presence of inbreeding

Author(s) -

Kristian Hanghøj,

Ida Moltke,

Philip Alstrup Andersen,

Andrea Manica,

Thorfinn Sand Korneliussen

Publication year - 2019

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giz034

Subject(s) - inbreeding , computer science , raw data , estimation , throughput , statistics , data mining , mathematics , engineering , telecommunications , population , demography , systems engineering , sociology , wireless , programming language

The estimation of relatedness between pairs of possibly inbred individuals from high-throughput sequencing (HTS) data has previously not been possible for samples where we cannot obtain reliable genotype calls, as in the case of low-coverage data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research