Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
We are developing methods to integrate genome sequence annotation data with microarray expression data. This effort has two emphases: (i) comparison of clusters of expressed genes with function, ...
This study provides a valuable genome-centric characterization of microbial communities across deep sediment cores from a Spartina patens salt marsh. The study provides claims on the metabolic ...
Using sophisticated RNA sequencing technology, biomedical researchers can measure the activity of our genes across millions ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
An analysis of foodborne outbreak data collection in Austria has found issues with completeness and consistency. A report published by the European Food Safety Authority (EFSA) shared results of a ...
Ambient ionization complements chromatographic workflows, offering rapid chemical composition snapshots and aiding in sample analysis. Chip Cody discusses his work in mass spectrometry, including DART ...
A research team led by two University of Maine Ph.D. students developed an artificial intelligence (AI) system that could ...
Computed tomography (CT) scans of the chest, abdomen, and spine, taken originally to detect problems such as kidney stones or growths on the lungs, can be repurposed through artificial intelligence ...
This case study demonstrates how advanced NMR spectroscopy enables high-resolution structural characterization of exenatide.
In a study published in Analytical Chemistry, a research team led by Wang Junfeng from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel immobilization ...
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