Additional file 10 of Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples

Additional file 10: Table S10. Assignment accuracy for the selected 93 SNPs to categorize simulated individuals between dog and Italian wolves from 8 different hybrid classes to the correct category (> 0.5) or assign it to any hybrid category (sum of assignments to hybrid categories > 0.7) by...

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Bibliographic Details
Main Authors: Jenni Harmoinen (11029142), Alina von Thaden (11029145), Jouni Aspi (566002), Laura Kvist (528380), Berardino Cocchiararo (3282579), Anne Jarausch (11029148), Andrea Gazzola (6036635), Teodora Sin (7908011), Hannes Lohi (102236), Marjo K. Hytönen (8522271), Ilpo Kojola (469975), Astrid Vik Stronen (6716600), Romolo Caniglia (512572), Federica Mattucci (3255996), Marco Galaverni (510047), Raquel Godinho (372545), Aritz Ruiz-González (645630), Ettore Randi (42572), Violeta Muñoz-Fuentes (197058), Carsten Nowak (76672)
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Genetics
Evolutionary Biology
Ecology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Canis lupus
Canis lupus familiaris
Hybridization
SNP genotyping
Non-invasive sampling
Museum samples
Online Access:https://doi.org/10.6084/m9.figshare.14850692.v1
Description
Summary:Additional file 10: Table S10. Assignment accuracy for the selected 93 SNPs to categorize simulated individuals between dog and Italian wolves from 8 different hybrid classes to the correct category (> 0.5) or assign it to any hybrid category (sum of assignments to hybrid categories > 0.7) by the software NEWHYBRIDS. Analysis was run with the four possible prior combinations. Range of results from different runs is indicated.

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