In addition to the advanced data analysis algorithms, gene annotation-pathway databases, and theoretical models, specifically designed sets of complementary experiments are crucial in translating the collected genomics data into palatable knowledge.
Understanding the molecular aspects of CRPC evolution has allowed for the development of targeted agents specifically designed to inhibit pathways implicated in the proliferation and growth of malignant cells (Nabhan et al, 2011).
Although not specifically designed for biological pathway depiction it has been used previously for this and similar purposes [ 19, 20] and has a range of characteristics and capabilities that make it ideally suited for the job.
Pathway to Independence Awards, for instance, are specifically designed to smooth the transition from postdoc to independent research.
Targeted therapeutic agents specifically designed to impact cellular apoptotic pathways may represent a novel class of therapeutic agents.
The elucidation of the affected pathways may guide the development of new treatments specifically designed for this aggressive disease entity.
We propose a novel gene set analysis specifically designed for gene sets defined by pathways.
This program is based on an exhaustive search strategy and is specifically designed to screen shared data (target genes, miRs and pathways) available from the PicTar and DIANA-MicroT 3.0 databases.
Conventionally, these layout algorithms are specifically designed for a particular network type, such as gene regulatory networks or signalling pathways [ 11, 12], metabolic pathways or biochemical networks [ 13- 15], or phylogenetic networks [ 16].
Here we describe how the Xenopus egg extract system, in combination with specifically designed DNA templates, contributed to our detailed understanding of these pathways.
