AIMC Topic: High-Throughput Screening Assays
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Top-down machine learning approach for high-throughput single-molecule analysis.
eLife
Apr 8, 2020
Single-molecule approaches provide enormous insight into the dynamics of biomolecules, but adequately sampling distributions of states and events often requires extensive sampling. Although emerging experimental techniques can generate such large dat...
Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals.
Journal of chemical information and modeling
Apr 6, 2020
Computational high throughput screening (HTS) has emerged as a significant tool in material science to accelerate the discovery of new materials with target properties in recent years. However, despite many successful cases in which HTS led to the no...
High-Throughput Screening Technology in Industrial Biotechnology.
Trends in biotechnology
Jan 28, 2020
Based on the development of automatic devices and rapid assay methods, various high-throughput screening (HTS) strategies have been established for improving the performance of industrial microorganisms. We discuss the most significant factors that c...
Genome-scale transcriptional dynamics and environmental biosensing.
Proceedings of the National Academy of Sciences of the United States of America
Jan 23, 2020
Genome-scale technologies have enabled mapping of the complex molecular networks that govern cellular behavior. An emerging theme in the analyses of these networks is that cells use many layers of regulatory feedback to constantly assess and precisel...
Hyperspectral imaging combined with machine learning as a tool to obtain high-throughput plant salt-stress phenotyping.
The Plant journal : for cell and molecular biology
Dec 9, 2019
The rapid selection of salinity-tolerant crops to increase food production in salinized lands is important for sustainable agriculture. Recently, high-throughput plant phenotyping technologies have been adopted that use plant morphological and physio...
The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.
Scientific reports
Dec 2, 2019
"miRNA colorectal cancer" (https://mirna-coadread.omics.si/) is a freely available web application for studying microRNA and mRNA expression and their correlation in colorectal cancer. To the best of our knowledge, "miRNA colorectal cancer" has the l...
DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.
Nature methods
Nov 25, 2019
We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and new quantification and signal correction strategies for the processing of data-independent acquisition (DIA) proteomics experiments. DIA-NN improves t...
Exploiting open source 3D printer architecture for laboratory robotics to automate high-throughput time-lapse imaging for analytical microbiology.
PloS one
Nov 19, 2019
Growth in open-source hardware designs combined with the low-cost of high performance optoelectronic and robotics components has supported a resurgence of in-house custom lab equipment development. We describe a low cost (below $700), open-source, fu...
A Deep Learning-Based Approach for High-Throughput Hypocotyl Phenotyping.
Plant physiology
Oct 21, 2019
Hypocotyl length determination is a widely used method to phenotype young seedlings. The measurement itself has advanced from using rulers and millimeter papers to assessing digitized images but remains a labor-intensive, monotonous, and time-consumi...
Opportunities and Challenges in Phenotypic Screening for Neurodegenerative Disease Research.
Journal of medicinal chemistry
Jul 18, 2019
Toxic misfolded proteins potentially underly many neurodegenerative diseases, but individual targets which regulate these proteins and their downstream detrimental effects are often unknown. Phenotypic screening is an unbiased method to screen for no...
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