Our BN analysis methods can be used to identify
novel gene interactions and networks for advanced study of different biological networks and pathways.
Not exact matches
According to a new study recently published in the online edition of the journal Cancer Research, scientists pinpointed a
novel interaction between the
genes AEG - 1 and Akt2 that regulates the malignant characteristics of GBM.
«The database is a precious resource for the research community studying plant - microbe
interactions as it is an unbiased way to identify potentially interesting
genes involved in
interaction with a plant — including many totally
novel genes.
Hence, understanding the interrelationship between genetic markers and use of aspirin and NSAIDs, also known as
gene × environment
interactions, can help to identify population subgroups defined by genetic background that may preferentially benefit from chemopreventive use of these agents and offer
novel insights into underlying mechanisms of carcinogenesis.
Our collaborative influenza projects: 1) characterizing the temporal and spatial evolutionary dynamics of the IAV and IBV circulating globally in humans and wild birds, 2) identifying the IAV genotypes circulating in pigs at county fairs (swine - human interface) to determine if fairs produce
novel reassortants or enable zoonosis / reverse zoonosis, 3) determining if specific internal
gene segment constellations enhance viral fitness, 4) detecting epistatic
interactions between
gene segments, and 5) assessing the impact of inter-hemispheric migration of viruses /
gene segments.
A
novel disrupter of telomere silencing 1 - like (DOT1L)
interaction is required for signal transducer and activator of transcription 1 (STAT1)- activated
gene expression.
The idea behind our work in bioinformatics is to build on existing methodologies regarding large - scale data analysis and to develop
novel algorithms for processing and merging complex biological data from multiple sources such as
gene expression data, sequence information, protein - to - protein
interaction data, clinico - pathological data etc..
In this breed, the researchers found a
novel mechanism of regulating blood sugar levels via an
interaction of
genes located on two different chromosomes.
70/3: 15 Chromosome
interaction analysis of risk loci in related autoimmune diseases reveals complex, long - range promoter
interactions implicating
novel candidate
genes.
To understand the selection mechanism behind mutations, network - based studies were used to estimate the importance of a mutated protein compared to non-mutated ones in signalling and protein — protein
interaction networks.10, 11,12,13 Proteins mutated in cancer were found having a high number of interacting partners (i.e., a high degree of connectivity), which indicates high local importance.10 Mutated proteins are also often found in the centre of the network, in key global positions, as quantified by the number of shortest paths passing through them if all proteins are connected with each other (i.e., they have high betweenness centrality; hereafter called betweenness).11, 12 Mutated proteins also have high clustering coefficients, which means their neighbours are also neighbours of each other.10, 13 Moreover, neighbourhood analysis of mutated proteins have been previously successfully used to predict
novel cancer - related
genes.14, 15 However, to the best of our knowledge, no study has concentrated particularly on the topological importance of first neighbours of mutated proteins in cancer, and their usefulness as drug targets themselves.