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Yeasts

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Deep learning enabled rapid classification of yeast species in food by imaging of yeast microcolonies.

Food research international (Ottawa, Ont.)
Diverse species of yeasts are commonly associated with food and food production environments. The contamination of food products by spoilage yeasts poses significant challenges, leading to quality degradation and food loss. Similarly, the introductio...

Automated quantification of lipid contents of Lipomyces starkeyi using deep-learning-based image segmentation.

Bioresource technology
Intracellular lipid droplets (LDs), subcellular organelles playing a role in long-term carbon storage, have immense potential in biofuel and dietary lipid production. Monitoring the state of LDs in living cells is of utmost importance for quick bioma...

The monitoring of oil production process by deep learning based on morphology in oleaginous yeasts.

Applied microbiology and biotechnology
BACKGROUND: Monitoring jar fermenter-cultured microorganisms in real time is important for controlling productivity of bioproducts in large-scale cultivation settings. Morphological data is used to understand the growth and fermentation states of the...

UPLC-ESI-MS/MS based identification and antioxidant, antibacterial, cytotoxic activities of aqueous extracts from storey onion (Allium cepa L. var. proliferum Regel).

Food research international (Ottawa, Ont.)
Storey onion (Allium cepa L. var. proliferum Regel) is a variety of onion commonly grown in northern China that has not been researched in detail. This study aimed to identify the chemical compositions of storey onion aqueous extracts by UPLC-ESI-MS/...

Integrating biological knowledge based on functional annotations for biclustering of gene expression data.

Computer methods and programs in biomedicine
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an independent activation with respect...

RGFinder: a system for determining semantically related genes using GO graph minimum spanning tree.

IEEE transactions on nanobioscience
Biologists often need to know the set S' of genes that are the most functionally and semantically related to a given set S of genes. For determining the set S', most current gene similarity measures overlook the structural dependencies among the Gene...

A multistaged automatic restoration of noisy microscopy cell images.

IEEE journal of biomedical and health informatics
Automated cell segmentation for microscopy cell images has recently become an initial step for further image analysis in cell biology. However, microscopy cell images are easily degraded by noise during the readout procedure via optical-electronic im...

Prediction and collection of protein-metabolite interactions.

Briefings in bioinformatics
Interactions between proteins and small molecule metabolites play vital roles in regulating protein functions and controlling various cellular processes. The activities of metabolic enzymes, transcription factors, transporters and membrane receptors ...

Convolutional neural network analysis of recurrence plots for high resolution melting classification.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: High resolution melting (HRM) analysis is a rapid and correct method for identification of species, such as, microorganism, bacteria, yeast, virus, etc. HRM data are produced using real-time polymerase chain reaction (PCR) a...

Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networks.

Plant molecular biology
We developed two CNNs for predicting ubiquitination sites in Arabidopsis thaliana, demonstrated their competitive performance, analyzed amino acid physicochemical properties and the CNN structures, and predicted ubiquitination sites in Arabidopsis. A...