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Multiple maps were analysed using boolean logic models based on seven criteria set by a team comprising of a spatial ecologist, hydrologist, geologist, geomorphologist, an engineer and GIS/RS specialist, after a field work of one month.
Superscaffolds that were anchored in multiple maps were used as reference points to align the genetic positions in the three different maps.
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A single map is one of many possible representations of the data, so making multiple maps is often part of a complete mapping effort.
Because we only calculated uniquely mapped reads, we determined that a large number of multiple mapping were present in the uncovered regions of chromosomes 6 and Y.
After alignment, an average of 80%% of the reads, with 5%% representing multiple mapping, were mapped to the chicken reference transcriptome (Table 1).
Multiple mapping was allowed unless specifically stated.
This multiple mapping was observed across the genome sequence, and we concluded that the heterozygosity was randomly distributed in F. x ananassa and the four wild species sequenced in this study.
Multiple time series maps were used to calibrate the model to reduce the randomness in future modeling.
Multiple representational maps are thus not only found in mammals [65], they can also be demonstrated in birds.
The need to integrate information from multiple linkage maps is a long-standing problem in genetics.
Multiple optical maps are then combined to form a comprehensive reference optical map for the Brown Norway rat genome.
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