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Grouping was conducted with a LOD score of 10, the regression algorithm was used for marker ordering and the Kosambi function was used in marker distance calculation.
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Due to a lack of male recombination, only informative dam meioses were used for determining marker order and position using a 'build' analysis.
However, it must be acknowledged that even though the assignment of markers in linkage groups is robust, none of the available algorithms used for ordering markers provides an accurate positioning of closely spaced markers due to the relatively low number of meioses represented in our sample size.
Integration of the cross-population P2 and OxG maps was carried out based on common markers using an extension to multiple populations of the method used for ordering markers in a single population [ 40].
The segregation mapping data of the mapping populations were used to recalculate the linkage maps using a combination of JoinMap v. 4.0 [ 31] for marker grouping and Carthagene v. 2.0 [ 32] for marker ordering and mapping.
The Carthagene software [ 12, 14, 54] was used to compute efficiently marker ordering for candidate maps with reference maps.
The criterion of the sum of adjacent LOD scores was used for rippling after ordering each marker sequence.
Maps made from framework markers provide stronger support for marker orders and reasonable map lengths and are used to produce a consensus high-density linkage map containing 656 markers.
Using this approach, it may be possible to obtain a consensus for marker order and recombination distances.
The ML mapping method uses multipoint, ML-based algorithms to determine optimal intermarker distances and marker order and simulated annealing to provide statistical support for marker order.
The male and female linkage maps were compared for marker order among the shared markers.
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