We characterized important regulatory proteases and focus analysis on these proteases to complement the growing knowledge base of digestive proteases.
Using biochemical, mutation, and cellular analyses, we characterized important domains involved in the functionality of a RNA-binding protein in RNA splicing.
We characterized important features of p53 in vivo chromatin occupancy and identified novel target genes and transcription factors, which affect p53 transcriptional function, as exemplified by the modulation of p53 transcriptional response by Sp1 and the antagonistic interaction between p53 and STAT3 at the AURKA promoter.
It is also possible that we did not characterize important variation in these genes, since particular variants, such as deletions, variants in repeat regions, and copy number variants, were not detectable on the platforms we used for genotyping.
We here identify and characterize important actors in a PRC1-dependent epigenetic signal/response mechanism, some of which appear to be nonspecific global responses, whereas others provide modular specificity.
Following these questions, we firstly develop methods to quantify the possible excess energy and subsequently characterize important production processes of Germany's chemical industry.
We believe that the categorization of text along the multiple suggested dimensions, which characterize important aspects of scientific contents, can lead to more accurate extraction and retrieval of information from a large volume of publications.
In order to characterize important genetic differences between V. parahaemolyticus, V. cholerae and V. vulnificus, we compared their core genomes.
Holistic processing is a theoretical construct originally used to characterize important differences between face and common object recognition, but has since been used more generally to characterize differences between expert and novice object recognition.
Very much in the tradition of exploratory data analysis developed by John Tukey, Frederick Mosteller and others three decade ago[9], powerful computational tools are being developed to inductively characterize important but elusive structures in a dataset.
