The inception of microarrays has facilitated quantification of expression of genes at genomic scale in large sets of conditions in time and cost effective manner resulting in a wealth of massive gene expression datasets.
Despite the difficulty of the task--and it is indeed humbling--the availability of personal genomic and a wealth of large-scale biological datasets provide an unprecedented opportunity to identify therapeutically relevant targets that will be both druggable and disease modifying [ 35].
Taking advantage of the wealth of datasets from ENCODE, Dong et al. established a novel quantitative model to evaluate the relationship between chromatin features (including 11 histone modifications, one histone variant and DNase I hypersensitivity) and expression levels.
Even given many underlying experimental and sampling design flaws, these datasets contain a wealth of information on forest change that only now are we more fully understanding.
Comparative datasets contain a wealth of information about the evolutionary process that is only partially tapped with traditional model fitting approaches.
With the rapid increase in sequencing power, the characterization of the so-called 'microbiome' has given rise to large 'metagenomic' datasets, revealing a wealth of microbial species that were previously unknown and cannot be cultured.
First, we collected genome-level datasets representing a wealth of information about human cancers, including gene essentiality, mRNA expression, DNA copy number alteration, somatic mutation patterns as well as PPI network data.
The heterogeneous datasets provide a wealth of additional information about the network topology which BVSA is currently unable to use and therefore does not perform as well as Kuffner et. al.'s algorithm.
Since certain combinations of TFs are often repeatedly used for regulating one or more groups (regulons) of genes in some cell types, tissues and developmental stages [ 10], the increasing number of ChIP-seq datasets contains a wealth of information about the combinatorial patterns of different TFs for transcriptional regulation [ 42, 43].
As with the other preliminary analyses discussed above, this dataset provides a wealth of information to identify new potentially important regulators of innate immunity.
