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High-throughput and user-friendly platforms for designing synthetic DNA-binding proteins present innovative methods for deciphering cell biology and designing custom synthetic gene circuits.
Here, we highlight methods for deciphering how alleles that are associated with autoimmune disease alter the human immune system, and suggest strategies for future autoimmune genetic research.
Simulated datasets with known underlying disease mechanisms have been widely used to develop efficient statistical methods for deciphering the complex interplay between the genetic and environmental factors responsible for complex human diseases, such as hypertension, diabetes and cancer [ 1- 3].
Although there exist many computational methods for deciphering the transcriptional regulatory interactions between TFs and genes, the integrative analysis considering both TF and miRNA as regulators is still very limited due to the lack of a ready-to-use regulatory network database (20).
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This work reveals Bap1 as a metabolic regulator in liver and pancreas, and it establishes NeuCode as a reliable proteomic method for deciphering in vivo biology.
Whole genome sequencing via NGS is becoming a standard method for deciphering the genetic basis for phenotypic alternations in bacteria.
One method for deciphering genomic regulatory information utilizes in vivo reporter assays to assess the activity of putative enhancers.
In conclusion, using a novel method for deciphering eukaryotic genomes, we assembled and analyzed the B. schlosseri genome, the first colonial tunicate to be sequenced.
The application of these devices, and the method we have developed for deciphering the information that they gather could provide a key to slowing the dramatic rate of decline in honey bee populations across the world".
Recursive segmentation methods have often been used for deciphering the compositional heterogeneity within genomic sequences (Bernaola-Galvan et al. 1996; Azad et al. 2002; Grosse et al. 2002; Thakur et al. 2007; Arvey et al. 2009; Azad and Li 2013).
As a result, innovations in methods for visualizing neural circuitry and for deciphering spike times will be necessary to further advance systems neuroscience with imaging.
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