AIMC Topic: Caenorhabditis elegans
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Deep learning-based enhancement of fluorescence labeling for accurate cell lineage tracing during embryogenesis.
Bioinformatics (Oxford, England)
Nov 1, 2024
MOTIVATION: Automated cell lineage tracing throughout embryogenesis plays a key role in the study of regulatory control of cell fate differentiation, morphogenesis and organogenesis in the development of animals, including nematode Caenorhabditis ele...
Expression and Purification of SMGL-1.
Studies in health technology and informatics
Nov 23, 2023
Recombinant protein expression is a crucial technique in biology, with E. coli being the most widely used expression system. However, due to growth pressure, the expression of large molecular weight proteins in E. coli has remained a challenging task...
Scan-less machine-learning-enabled incoherent microscopy for minimally-invasive deep-brain imaging.
Optics express
Jan 17, 2022
Deep-brain microscopy is strongly limited by the size of the imaging probe, both in terms of achievable resolution and potential trauma due to surgery. Here, we show that a segment of an ultra-thin multi-mode fiber (cannula) can replace the bulky mic...
Dynamic Markers for Chaotic Motion in C. elegans.
Nonlinear dynamics, psychology, and life sciences
Jan 1, 2022
We describe the locomotion of Caenorhabditis elegans (C. elegans) using nonlinear dynamics. C. elegans is a commonly studied model organism based on ease of maintenance and simple neurological structure. In contrast to traditional microscopic techniq...
Machine learning approach to gene essentiality prediction: a review.
Briefings in bioinformatics
Sep 2, 2021
UNLABELLED: Essential genes are critical for the growth and survival of any organism. The machine learning approach complements the experimental methods to minimize the resources required for essentiality assays. Previous studies revealed the need to...
Organizing principles of the C. elegans contactome.
Cell systems
Jul 21, 2021
Two recent studies published in Nature generate and analyze, for the first time, the network of ∼100,000 membrane contacts between neurons in the C. elegans nerve ring. These novel data, extracted from legacy electron microscographs, represent a shif...
Toward a living soft microrobot through optogenetic locomotion control of .
Science robotics
Jun 30, 2021
Learning from the locomotion of natural organisms is one of the most effective strategies for designing microrobots. However, the development of bioinspired microrobots is still challenging because of technical bottlenecks such as design and seamless...
The Gene Ontology resource: enriching a GOld mine.
Nucleic acids research
Jan 8, 2021
The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The n...
[Identification of nucleosome positioning using support vector machine method based on comprehensive DNA sequence feature].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Jun 25, 2020
In this article, based on z-curve theory and position weight matrix (PWM), a model for nucleosome sequences was constructed. Nucleosome sequence dataset was transformed into three-dimensional coordinates, PWM of the nucleosome sequences was calculate...
Text mining meets community curation: a newly designed curation platform to improve author experience and participation at WormBase.
Database : the journal of biological databases and curation
Jan 1, 2020
Biological knowledgebases rely on expert biocuration of the research literature to maintain up-to-date collections of data organized in machine-readable form. To enter information into knowledgebases, curators need to follow three steps: (i) identify...
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