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(C ) Observed distribution of IMDs in the AID* dataset compared to a simulation assuming mutations are randomly scattered throughout the genome.

Therefore, we designed a randomization algorithm for the Motif Mapper software [ 37] which enabled statistical evaluation of motif enrichment in a specific promoter dataset compared to a randomly composed dataset.

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The results show that correlation between actual and estimated proportion is higher by an average of 0.25 for the artificial datasets compared to a situation where variability is not considered.

These programs identify over-represented sequence patterns or motifs in a given dataset compared to all other datasets.

The experimental results demonstrate the ability of the method to identify possible segmentations in a dataset, compared to algorithms that only yield a single clustering solution.

Although, wikipedia-medium is a larger dataset compared to lshtc-large dataset, the L-BFGS algorithm converges in a shorter time, because it requires a smaller number of iterations to reach the optimum.

Our experiments with three real-world datasets show that our approach gives an improvement of 50% to 300% in the crowd cost to resolve a dataset, compared to using only tasks of the same interface.

[75], [76] However, these results are based on a smaller dataset compared to ischaemic stroke making the point estimates less reliable.

The reliabilities of GEBV increased by 10% on average when four European Holstein populations were combined into a reference dataset, compared to when only one national population was used as the reference population [ 5].

To sum up, WES has many strengths: it is less expensive than whole-genome sequencing (WGS) (one exome costs USD 1,000 whereas one genome costs around USD 2,000) [ 6], it is an efficient strategy with which to identify the genetic basis that underlies rare Mendelian disorders, and it provides a small dataset compared to WGS and is thus easier to interpret.

Our extensive dog GPCR gene sequence searches and the manual curation of the coding domains have resulted in an improved dataset compared to what was previously available in the public domain.

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