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Information content for markers was estimated in ALLEGRO.
The distance between markers was estimated from the size of the intervening sequence and estimated gaps.
Pairwise LD (r2) between markers was estimated by Haploview (version 4.1) [26].
The physical distance between the markers was estimated based on the genome assembly of the closely related species Drosophila virilis (caf1, Agencourt Biosciences, Beverly, MA).
False negative associated with such routine approach is mainly due to re-infection and sensitivity achieved by combination of both markers was estimated to be 86.0%, which is very similar as that of 85.0% achieved by HEV IgM alone.
Globally, the variance explained by all of the 12 significant markers was estimated to be 41%.
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Biochemical estimation of oxidative markers, anti-oxidants and pro-inflammatory markers were estimated.
Additionally, cytokines (brain and serum) and brain oxidative stress markers were estimated.
Recombination values between markers were estimated by the maximum-likelihood equation (Allard 1956) using Kosambi's mapping function (Kosambi 1944).
Additionally, the physical positions of 16,582 simple sequence repeat (SSR) markers were estimated via the program ePCR (Schuler 1997).
The physical distance (in kb) between the AI genes and the co-localizing markers are estimated based on Gramene (O. sativa indica genome), most of which are less than 300 kb.
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