The proliferation in the use of next-generation sequencing technologies by the plant research community has led to the accumulation of large volumes of expression data.
There is a large volume of gene expression data available through different public databases.
In this study, we performed the first systematic survey of allele-specific patterns of histone-modification patterns in the human genome, by exploiting the unparalleled, large volume of chromatin, expression, and genotyping data now available for a widely used human embryonic stem cell (hESC) line.
A large volume of breast cancer gene expression studies ultimately focus on deriving prognostic and predictive signatures, a few of which currently are considered for clinical use [ 1, 2].
One population of note is the Collaborative Cross [ 76], which promises to greatly reduce LD and population structure (EJ Chesler, personal communication), and since it will be a panel of recombinant inbred strains, a large volume of phenotype and gene expression data is expected to accumulate over time.
This step-by-step process effectively increases querying speed, which in turn allows faster retrieval of specific data from large volumes of gene expression information.
Tumor characterization projects are beginning to produce a large volume of data about genomic, epigenomic, and gene expression aberrations in tumor samples.
In cancer research, the situation is typically such that we have a large volume of data, for example, from genome-wide expression, copy number, or methylation measurements, but the number of samples is relatively small.
To overcome the problem of intratumor heterogeneity in HER2 expression, examination of a large volume of tumor tissue appears to be necessary.
Integration of databases in this way should provide researchers concerned with gene expression data access to a large volume of information in an easily accessible and unified manner.
