Results 31 to 40 of about 26,463 (257)

Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning [PDF]

Frontiers in Plant Science
Guihua Bai, Maitiniyazi Maimaitijiang, Sunish Kumar Sehgal   +2 more
exaly   +2 more sources

High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture

Agronomy, 2019
High-throughput field phenotyping has garnered major attention in recent years leading to the development of several new protocols for recording various plant traits of interest.
Aakash Chawade, Joost van Ham, Hanna Blomquist, Oscar Bagge, Erik Alexandersson, Rodomiro Ortiz   +5 more
doaj   +1 more source

A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots

Plant Phenomics, 2022
Manual assessments of plant phenotypes in the field can be labor-intensive and inefficient. The high-throughput field phenotyping systems and in particular robotic systems play an important role to automate data collection and to measure novel and fine ...
Rui Xu, Changying Li
doaj   +1 more source

High-throughput discovery of novel developmental phenotypes [PDF]

Nature, 2016
Approximately one-third of all mammalian genes are essential for life. Phenotypes resulting from knockouts of these genes in mice have provided tremendous insight into gene function and congenital disorders. As part of the International Mouse Phenotyping Consortium effort to generate and phenotypically characterize 5,000 knockout mouse lines, here we ...
Dickinson, Mary E, Flenniken, Ann M, Ji, Xiao, Teboul, Lydia, Wong, Michael D, White, Jacqueline K, Meehan, Terrence F, Weninger, Wolfgang J, Westerberg, Henrik, Adissu, Hibret, Baker, Candice N, Bower, Lynette, Brown, James M, Caddle, L Brianna, Chiani, Francesco, Clary, Dave, Cleak, James, Daly, Mark J, Denegre, James M, Doe, Brendan, Dolan, Mary E, Edie, Sarah M, Fuchs, Helmut, Gailus-Durner, Valerie, Galli, Antonella, Gambadoro, Alessia, Gallegos, Juan, Guo, Shiying, Horner, Neil R, Hsu, Chih-Wei, Johnson, Sara J, Kalaga, Sowmya, Keith, Lance C, Lanoue, Louise, Lawson, Thomas N, Lek, Monkol, Mark, Manuel, Marschall, Susan, Mason, Jeremy, McElwee, Melissa L, Newbigging, Susan, Nutter, Lauryl MJ, Peterson, Kevin A, Ramirez-Solis, Ramiro, Rowland, Douglas J, Ryder, Edward, Samocha, Kaitlin E, Seavitt, John R, Selloum, Mohammed, Szoke-Kovacs, Zsombor, Tamura, Masaru, Trainor, Amanda G, Tudose, Ilinca, Wakana, Shigeharu, Warren, Jonathan, Wendling, Olivia, West, David B, Wong, Leeyean, Yoshiki, Atsushi, International Mouse Phenotyping Consortium, Laboratory, Jackson, Infrastructure Nationale PHENOMIN, Institut Clinique de la Souris (ICS), Laboratories, Charles River, MRC Harwell, Toronto Centre for Phenogenomics, Wellcome Trust Sanger Institute, RIKEN BioResource Center, MacArthur, Daniel G, Tocchini-Valentini, Glauco P, Gao, Xiang, Flicek, Paul, Bradley, Allan, Skarnes, William C, Justice, Monica J, Parkinson, Helen E, Moore, Mark, Wells, Sara, Braun, Robert E, Svenson, Karen L, de Angelis, Martin Hrabe, Herault, Yann, Mohun, Tim, Mallon, Ann-Marie, Henkelman, R Mark, Brown, Steve DM, Adams, David J, Lloyd, KC Kent, McKerlie, Colin, Beaudet, Arthur L, Bućan, Maja, Murray, Stephen A   +90 more
openaire   +7 more sources

High-throughput physical phenotyping of cell differentiation [PDF]

Microsystems & Nanoengineering, 2017
AbstractIn this report, we present multiparameter deformability cytometry (m-DC), in which we explore a large set of parameters describing the physical phenotypes of pluripotent cells and their derivatives. m-DC utilizes microfluidic inertial focusing and hydrodynamic stretching of single cells in conjunction with high-speed video recording to realize ...
Lin, Jonathan, Kim, Donghyuk, Tse, Henry T, Tseng, Peter, Peng, Lillian, Dhar, Manjima, Karumbayaram, Saravanan, Di Carlo, Dino   +7 more
openaire   +4 more sources

COMPUTER APPROACHES TO WHEAT HIGH-THROUGHPUT PHENOTYPING [PDF]

Journal of Stress Physiology & Biochemistry, 2012
The growing need for rapid and accurate approaches for large-scale assessment of phenotypic characters in plants becomes more and more obvious in the studies looking into relationships between genotype and phenotype.
Afonnikov D., M. Genaev, A. Doroshkov, V. Denisyuk, E. Morozova, A. Simonov, T. Pshenichnikova   +6 more
doaj  

Improving High-Throughput Phenotyping Using Fusion of Close-Range Hyperspectral Camera and Low-Cost Depth Sensor

Sensors, 2018
Hyperspectral sensors, especially the close-range hyperspectral camera, have been widely introduced to detect biological processes of plants in the high-throughput phenotyping platform, to support the identification of biotic and abiotic stress reactions
Peikui Huang, Xiwen Luo, Jian Jin, Liangju Wang, Libo Zhang, Jie Liu, Zhigang Zhang   +6 more
doaj   +1 more source

High Throughput Neurological Phenotyping with MetaMap

European Scientific Journal, ESJ, 2022
The phenotyping of neurological patients involves the conversion of signs and symptoms into machine readable codes selected from an appropriate ontology. The phenotyping of neurological patients is manual and laborious. MetaMap is used for high throughput mapping of the medical literature to concepts in the Unified Medical Language System Metathesaurus
Daniel B. Hier, Raghu Yelugam, Michael D. Carrithers, Donald C. Wunsch II   +3 more
openaire   +2 more sources

Computational Approaches to Phenotyping: High-Throughput Phenomics [PDF]

Proceedings of the American Thoracic Society, 2007
The recent completion of the Human Genome Project has made possible a high-throughput "systems approach" for accelerating the elucidation of molecular underpinnings of human diseases, and subsequent derivation of molecular-based strategies to more effectively prevent, diagnose, and treat these diseases.
Yves A, Lussier, Yang, Liu
openaire   +2 more sources

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source