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Recently, we identified a candidate resistance allele that confers high level resistance to the insecticide spinosad, using AFLP genetic mapping and single copy gene anchors [15].
Read mapping and single nucleotide polymorphism (SNP) filtering were carried out as described previously [ 20, 29].
All QTL shown are supported both by composite interval mapping and single marker analysis.
Its main supported analyses are: read cleaning, transcriptome assembly and annotation, read mapping and single nucleotide polymorphism (SNP) calling and selection.
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However, the effect of qSPP5 was not strong to be detected by both interval mapping and single-point analysis near the same SSR markers (Yuan et al., 2009).
Composite interval mapping and single-marker analysis methods were used to identify significant loci for cotyledon opening under UV-B in four sets of recombinant inbred lines.
These QTL may correspond to our Hort5-3 group QTL for yield, Brix, and days to first ripe fruit, although the low resolution of their map and single marker regression analysis precluded more precise QTL localization.
We examined the five strongest syntenic links between single linkage groups in our GBS-based map and single Danio chromosomes and then identified analogous connections between those chromosomes and specific linkage groups in the maps presented by Gross et al. (2008) and O'Quin et al. (2013).
Among them, we consider two basic methods the interval mapping method and single marker analysis.
In this work, thousands of ESTs for functional genomic studies and potential markers linked to ESTs for mapping (microsatellites and single nucleotide polymorphisms (SNPs)) are provided.
We derive general formulas of influence functions for profile likelihoods and introduce them into two standard quantitative trait locus detection methods the interval mapping method and single marker analysis.
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