Study designs for gene identification should be revised to accommodate polygenic cancers.
Although this has proved powerful for gene identification, significant progress has also been made in uncovering gene regulatory sequences such as distant acting transcriptional enhancers.
The vicinity around the transitions between exon, intron and junk usually contains rich information for gene identification.
Of these proteins, 99.5%% (321/336) were represented in the draft genome, indicating sufficient quality for gene identification in L. edodes.
To assess the utility of the resulting sequence for gene identification, we mapped known O. sativa genes onto the O. barthii Chr3S assembly.
Maximum likelihood trees using hundreds of sequences can be used for gene identification.
The gene dictionary we used for gene identification is derived from HUGO Gene Nomenclature Committee (http://www.gene.ucl.ac.uk/).ac.uk/
These results confirm a previously-described TF polymorphism and implicate one potential new locus as a target for gene identification.
This could lead to the optimization of study design for the choice of the best approach for gene identification in complex traits.
Knowledge of the population structure and LD pattern is essential for study design in order to choose the appropriate approach for gene identification [2], [3].
From the results presented in Table 1 it is clear that synteny can be useful as a tool for gene identification.
