Thus far, we generated large cohorts of mice deficient for p73 and/or p53 and monitored them for developmental defects and tumor predisposition.
In the next stage of the study, we generated large virtual libraries of ligands as possible thrombin inhibitors, taking into account all discovered patterns.
As a first step, in the present study we generated large scale expressed sequence tags (EST) in three economically important species of wild silkmoths.
We generated large F2 mapping families by crossing two different geographic races of H. erato to the same stock of H. himera.
We generated large number of possible designs and then selected the design that provided the most precise coefficient estimates (i.e. smallest standard errors) and a better D-efficiency given the sample size [ 14, 15].
First, we generated large interaction datasets for Drosophila and human by combining experimental data from a variety of sources and by predicting additional interactions based on results with orthologous proteins from other organisms (see Section 2).
In this study, we generated large-scale data on the membrane proteome and N-glycoproteome of the BV-2 microglia line by liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) without extensive peptide fractionation and examined the properties of the resulting proteins with regard to membrane localization and N-glycosylation.
Using previously published datasets of 9,920 [ 26] and 7,208 [ 29] near-full-length 16S sequences, we generated large datasets in silico of 200 million reads (comparable to our combined dataset of 180 million reads), adding mismatches at rates of 0.01%, 0.1%, or 0.5% per base.
We generate large experimental datasets to probe concurrently the input-output relationship between Bcd and the transcriptional status of its target genes on three distinct scales, embryonic (i.e., along the A-P axis of the embryo), nuclear (i.e., at a given A-P position) and local (i.e., at the sites of nascent transcripts).
We successfully generated large droplets, which often fell off the fiber intersection in normal gravity, by using this method in microgravity.
