Results 91 to 100 of about 1,986,261 (302)

A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline

FEBS Open Bio, EarlyView.
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey, Vaishnavi Sanjayan, Praveen Singh, Shantanu Sengupta, Anand Kumar Bachhawat   +4 more
wiley   +1 more source

Research on manufacturing quality improvement based on product gene evaluation method and a meta-heuristic algorithm with hybrid encoding scheme

Advances in Mechanical Engineering
Product manufacturing quality is influenced by various factors of the production process, so the key to improve product manufacturing quality is improving the combination of the relevant parameters and processing methods in the manufacturing process ...
Wenxiang Xu, Chao Wang, Shimin Xu, Junyong Liang, Dezheng Liu, Baigang Du   +5 more
doaj   +1 more source

Selection of a suitable reference gene for quantitative gene expression in mouse lymph nodes after vaccination

BMC Research Notes, 2017
Background The quantification of gene expression is an important tool in the evaluation of the immune response to vaccines. Reliable reference genes for gene expression studies in mouse draining lymph nodes after vaccination have not been reported ...
Yung-Yi C. Mosley, Harm HogenEsch
doaj   +1 more source

Performance evaluation of different machine learning algorithms in presence of outliers using gene expression data

Journal of Bio-Science, 2019
Classification of samples into one or more populations is one of the main objectives of gene expression data (GED) analysis. Many machine learning algorithms were employed in several studies to perform this task. However, these studies did not consider the outliers problem.
MNH Mollah, SMS Islam, H Akter, MI Asifuzzaman, MM Rashid, M Shahjaman   +5 more
openaire   +2 more sources

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters

BMC Bioinformatics, 2017
Background sgnesR (Stochastic Gene Network Expression Simulator in R) is an R package that provides an interface to simulate gene expression data from a given gene network using the stochastic simulation algorithm (SSA).
Shailesh Tripathi, Jason Lloyd-Price, Andre Ribeiro, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib   +5 more
doaj   +1 more source

PICRUSt2: An improved and customizable approach for metagenome inference

bioRxiv, 2019
One major limitation of microbial community marker gene sequencing is that it does not provide direct information on the functional composition of sampled communities.
G. Douglas, Vincent J. Maffei, Jesse R. Zaneveld, S. Yurgel, James R. Brown, Christopher M. Taylor, C. Huttenhower, M. Langille   +7 more
semanticscholar   +1 more source

Evaluation of gene value and heuristic function of alternate plans in multi database system using Genetic Algorithm

International Journal of Database Management Systems, 2011
The major tasks in multiple query processing in multi database system are common operation or expression identification and global execution plan construction. Each query can have several alternative evaluation plans, each with a different set of tasks.
Sambit Kumar Mishra, Srikanta Pattnaik
openaire   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework

BMC Bioinformatics
ABSTRACT Background Computational approaches to support rare disease diagnosis are challenging to build, requiring the integration of complex data types such as ontologies, gene-to-phenotype associations, and cross-species data into variant and gene prioritisation algorithms (VGPAs).
Yasemin Bridges, Vinicius de Souza, Katherina G Cortes, Melissa Haendel, Nomi L Harris, Daniel R Korn, Nikolaos M Marinakis, Nicolas Matentzoglu, James A McLaughlin, Christopher J Mungall, Aaron Odell, David Osumi-Sutherland, Peter N Robinson, Damian Smedley, Julius OB Jacobsen   +14 more
openaire   +5 more sources