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Critically, because no map could be considered the truth map, we conducted this analysis on all pairwise comparisons.
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Finally, to directly show that these markers could also prove useful for association mapping, we conducted a trial association mapping study using a subset of the genic SSRs to associate with traits affecting wood properties in Populus.
In order to quantify these mapping findings we conducted a direct statistical comparison between these two connectivity analyses.
To examine the influence of this mapping discrepancy, we conducted a saturation experiment.
To identify potential components of the flavonoid network in sorghum and to define an a priori candidate gene set for comparison with mapping results, we conducted a systematic survey of flavonoid-related gene families in the reference sorghum genome (Table S1 and File S1; Paterson et al. 2009).
In order to increase the number of mapped poly(A) sites, we conducted mapping using deep-sequencing RNA-Seq reads in several species.
Using knowledge mapping tools (CiteSpace), we conducted the visualization analysis on both of international and domestic literatures in relation to ecological assets/values from the Web of Science (WoS) databases and China National Knowledge Infrastructure (CNKI) databases.
Finally, based on realistic US maps and traffic models, we conducted simulations to evaluate the feasibility and efficiency of our methods.
To evaluate this question, we conducted pair-wise map comparison to analyze the impact of spatial resolution on map agreement.
We conducted a mapping review to characterize whether behavioral interventions addressing skin cancer prevention and control from 2000 to 2015 included (1) technology, (2) environmental manipulations (policy and/or built environment), and (3) a theoretical basis.
We conducted geospatial mapping to determine disease trends and used focus groups and key informant interviews to identify barriers and solutions to improving testing and care.
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