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Most of the largest line origin errors are likely to be where recombination positions have been estimated with high imprecision or inaccuracy.
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The average line origin error across all positions was 0.017.
Our simulations show that the average line origin error is low, around 2%, for both methods.
The average standard deviation in line origin error within a replicate was 0.08.
GridQTL had a higher average line origin error over nine replicates than triM at all positions.
The average and standard deviation in line origin error was calculated over both haplotypes for all individuals.
The average line origin error for triM over 1000 simulation replicates ranged from 0.0009 to 0.04 for most of the simulated chromosome.
For each haplotype, we define the line origin error at position i, e (i ), as e (i ) = 1 − p 1 (i ) when the true origin is line 1, e (i ) = p 1 (i ) when the true origin is line 2,where p 1 (i ) is the probability of line 1 origin at position i.
When inaccuracy was higher for triM than GridQTL by more than 2 cM, either imprecision was also higher for triM, or triM was less imprecise, so that the number of surrounding positions with a high line origin error was lower for triM.
Zhang et al. (2017) analyzed the originate characteristic of code bias in BDS MW-defined combination and concluded that the origin of errors may from transmitting satellite sides for IGSO and MEO satellites, and the biases for GEO satellites originate from both ground- and satellite sides, mainly from ground multipath.
The changes in shifts are reported from single Lorentzian fits to the NMR data using the Simplex algorithms available in Origin 8. Errors are reported at the 95% confidence level (2σ).
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