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Improving comparability between qPCR‐based telomere studies
Author(s) -
Verhulst Simon
Publication year - 2020
Publication title -
molecular ecology resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.96
H-Index - 136
eISSN - 1755-0998
pISSN - 1755-098X
DOI - 10.1111/1755-0998.13114
Subject(s) - comparability , biology , telomere , computational biology , genetics , dna , mathematics , combinatorics
Comparability of findings from qPCR‐based telomere studies is hampered by such measurement results being assay‐specific, precluding a direct quantitative comparisons of observed differences and/or slopes of associations between studies. It is proposed that this can be partially alleviated by expressing qPCR‐based telomere data as Z ‐scores.