10.5061/DRYAD.QFTTDZ0JH
Xia, Xiao-Qin
0000-0002-8034-1096
Institute of Hydrobiology
Shi, Mijuan
Institute of Hydrobiology
Xia, Lei
Institute of Hydrobiology
Data from: PMSeeker: A Scheme for paternity marker set mining
Dryad
dataset
2021
2021-12-25T00:00:00Z
2021-12-25T00:00:00Z
en
14067407 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The paternity test is a genetic test that analyzes genetic characteristics
(mostly molecular markers) to identify whether two individuals have a
parent-child relationship. It is frequently employed in judicial
identification and economic species breeding. Because a single
marker's discriminability is restricted, numerous markers are
typically utilized to produce an accurate result. Obviously, having an
excessive number of redundant markers wastes time and resources, and
adequate approaches are required to screen reduced and efficient paternity
marker sets (PMS). This study established a non-redundant PMS-screening
scheme based on the exhaustive algorithm and greedy algorithm. When
screening PMS, the greedy algorithm selects markers based on the parental
dispersity index (PDI), a uniquely defined metric that outperforms
polymorphic information content (PIC) and probability of exclusion (PE).
With the conjunctive use of the two algorithms the optimal solutions were
found for more than 99.7% of solvable cases in three groups of random
sample experiments in this study. This scheme effectively reduces the
number of markers in PMS, so conserving people and experimental resources
and laying the groundwork for the widespread implementation of paternity
assignment technology in economic species breeding.