Search Data.gov
Found 164 dataset(s) matching "high-throughput".
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The objectives of this work were to: 1) develop an integrated analysis of chemical-mediated effects on steroidogenesis in the HT-H295R assay; and, 2) evaluate whether the HT-H295R assay predicts...
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Data from a large-scale modeling project called CERAPP (Collaborative Estrogen Receptor Activity Prediction Project) demonstrating using predictive computational models on high-throughput...
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- Changes in tissue transcriptomes and productivity of Arabidopsis thaliana were investigated during exposure of plants to two widely used engineered metal oxide nanoparticles, titanium dioxide...
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The files in this data release are the processed DNA consensus sequence alignment files for the chelonid herpesvirus 5 (ChHV-5) genome plus 66 open reading frames representing protien-coding...
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<p>Organisms living in honey bees and honey bee colonies form large associative holobiont communities that are integral to bee biology. High-throughput sequencing approaches to characterize these...
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Clostridium thermocellum is a thermophilic bacterium recognized for its natural ability to effectively deconstruct cellulosic biomass. While there is a large body of studies on the genetic...
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<p>These are data on variation in host specificity and genetics among 16 populations of an aphid parasitoid, <em>Aphelinus certus</em>, 15 from Asia and one from North America. Host range was the...
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We have performed high-throughput experimental estimates of five physicochemical properties for a set of 200 chemicals to evaluate the consistency with previous measurements, factors impacting...
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Background: Trends in male reproductive health have been reported for increased rates of testicular germ cell tumors, low semen quality, cryptorchidism, and hypospadias, which have been associated...
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List of biomarker genes used to predict estrogen receptor activity in MCF-7 cells; list of microarray accession numbers used in the study. This dataset is associated with the following...
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While it has been shown that astronauts suffer immune disorders after spaceflight, the underlying causes are still poorly understood and there are many variables to consider when investigating the...
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Background: Chemical toxicity testing is being transformed by advances in biology and computer modeling, concerns over animal use and the thousands of environmental chemicals lacking toxicity...
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CHIPS-FF (Computational High-Performance Infrastructure for Predictive Simulation-based Force Fields) is a universal, open-source benchmarking platform for machine learning force fields (MLFFs)....
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<p>Soil microorganisms play essential roles in soil organic matter dynamics and nutrient cycling in agroecosystems and have been used as soil quality indicators. The response of soil microbial...
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*********** Note to Josh Harrill- I don't have a copy of the final manuscript so could you please add the description of this dataset (just delete this comment and enter or cut and paste and then...
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The dataset contains the outputs for the analogue searches conducted for the chemical of interest, p,p'-DDD. This dataset is associated with the following publication: Lizarraga, L., J. Dean, J....
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Bioactivity data for p,p'-DDD and analogues from ToxCast assays conducted in liver cells were sourced from the EPA’s CompTox Chemistry Dashboard. The links also provide access to the ToxCast assay...
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Most of the data illustrates the effects that some e-cigarette flavoring agents, as well as some of the chemical components of those flavoring agents, directly have on the cytochrome P450 2A6...
