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Example mapping with several topological errors.
Figure 9 shows a mapping with several topological errors.
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Collaborative building of the first goal map with several experts or teachers is a conventional and promising way (Hirashima et al., 2011).
While this feat must clearly credit the iRIL strategy [3], the performance of the CIM-NPCI method on a dense genetic map with several markers per BAC in this region should not be overlooked.
Although the Nickel K-edge is at ∼1.48 Å and the data were collected at 1.1 Å, processing the data with the anomalous flag on in HKL2000 resulted in an anomalous difference map with several peaks greater than 8 sigma (Ni f = 2.02 at 1.1 Å).
A dense linkage map with several hundred microsatellite markers was therefore developed, and most map-based cloning projects in Lotus have been based on crosses between Gifu and MG-20.
These pathways were specified by intersecting the content of the RB/E2F map with several pathway databases and selecting those entities and reactions that are "canonically" represented in those databases (see the NaviCell guide for semantic zoom levels generation explanation).
> -wrap-foot> * p < 0.05; Isolated = isolated mappings, Departmental = departmental mappings, Integrated = integrated mappings; PBL = problem-based learning group, LBL = lecture-based learning group Departmental mapping refers to maps with several separated units or micro maps connected by a single arrow to superordinate concepts.
Although genetic maps with several thousand markers are available for a broad range of plant and animal species, few maps have more than 5000 markers, and most of the dense maps have been based on anonymous, polymerase chain reaction−based markers (reviewed in van Os et al. 2006), although the situation is changing rapidly with the advent of genotyping by sequencing (reviewed in Davey et al. 2011).
A vast volume of data is typically recorded in multi-electrode mapping studies, with several thousand slow wave signals potentially being recorded in each experiment for assessment.
Here we compare legacy QTL mapping methods with several modern multi-locus methods and evaluate their ability to produce eQTL that agree with independent external data in a systematic way.
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