Although these applications demonstrate a certain degree of correspondence between eQTL data and external data sources, and imply that such correspondence is desirable in an eQTL mapping method, no benchmarks based on the systematic recovery of biological information have been proposed and applied to a wide variety of mapping methods and data sets.
Sahana et al. [ 9] used simulation to compare methods, but comparison of QTL mapping methods using real data has not been reported in animal genetics.
The guide illustrates the steps involved in preprocessing genotyped SNPs, phasing, haplotype estimation, determining consensus haplotype code, and verification followed by qualitative/quantitative mapping methods using haplotype data.
We present a comparison of reference-based mapping methods for RNA-Seq data having no true reference, but that of a closely related model organism.
We present a comparison of reference-based mapping methods for RNA-Seq data originating from Non-Human Primates (NHPs), and their implications in downstream differential expression analysis.
Although the discrepancy was not investigated in this study, recently, Belova et al. [ 20] identified twelve markers showing different bin locations with the two bin mapping methods, and using this data, re-analyzed the bin locations with specific PCR primers.
As we are aware of the many issues associated with metainformation based identification of semantically identical objects we do not aim to provide an overall algorithmic solution to these but rather a framework which supports different mapping methods (see Populating the data model) and solves the organisation and use of the resulting semantic network.
BioCLUST offers an alternative to other biomass mapping methods when scene-specific plot data are limited and a photo-inventory is available for a representative portion of a Landsat scene.
In this manuscript, we present a comparison of four reference-based mapping methods for non-human primate data.
We present a complete analytical pipeline for genetic mapping in DO mice, including algorithms for probabilistic reconstruction of founder haplotypes from genotyping array intensity data, and mapping methods that accommodate multiple founder haplotypes and account for relatedness among animals.
