Дисертації з теми "Phenotying"
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Zhou, Felix. "Phenotyping cellular motion." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:9fb6a57d-2e16-43c9-92e6-895330353e51.
Повний текст джерелаEricksen, Daniel S. (Daniel Southwick) 1977. "High-throughput genomic phenotyping." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28527.
Повний текст джерелаIncludes bibliographical references (p. 63-65).
In the wake of the development of technology to sequence the complete genome of an organism, it has become expedient to generate methodologies to elucidate and characterize the function of all genes constituting the complete genetic makeup of an organism, whereby the knowledge of the genetic code may be for scientific and intellectual profit. This work consists of an investigation into two possible methods for determining the role of genes involved in the DNA and cellular damage response, though the methods are generally applicable to investigating a wide variety of biological pathways and responses. A library of approximately 4,800 yeast (Saccharomyces cerevisiae) deletion strains produced by the Saccharomyces Genome Deletion Project and consisting essentially of all possible mutants having one non-essential gene deleted (and replaced with unique identification tags called "bar codes") from the genome are employed in this endeavor. The methods focus on gathering phenotype data in a high-throughput manner and in response to the alkylating agent methyl methanesulfonate (MMS). The first method makes use of a new technology called the Living ChipTM, which can hold libraries of compounds or cell cultures in an array of 50-nl channels and which could ideally accommodate all deletion strains on a single array. The second method involves pooling all strains together in a single culture and allowing them to grow competitively to determine their relative fitness based on a specific treatment.
by Daniel S. Ericksen.
S.M.
Singh, Shantanu. "Quantitative Phenotyping in Tissue Microenvironments." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306940222.
Повний текст джерелаTikhomirova, Victoria E., Olga A. Kost, Olga V. Kryukova, Elena Z. Golukhova, Naida I. Bulaeva, Aigerim Z. Zholbaeva, Leo A. Bokeria, Joe G. N. Garcia, and Sergei M. Danilov. "ACE phenotyping in human heart." PUBLIC LIBRARY SCIENCE, 2017. http://hdl.handle.net/10150/625490.
Повний текст джерелаWang, Xin. "Inferring cellular networks from phenotyping screens." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648275.
Повний текст джерелаEdelman, Nicholas (Nicholas A. ). "Automated phenotyping of mouse social behavior." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76810.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 66-68).
Inspired by the connections between social behavior and intelligence, I have developed a trainable system to phenotype mouse social behavior. This system is of immediate interest to researchers studying mouse models of social disorders such as depression or autism. Mice studies provide a controlled environment to begin exploring the questions of how to best quantify social behavior. For the purposes of evaluating this system and to encourage further research, I introduce a new video dataset annotated with five social behaviors: nose-to-nose sniffing, nose-to-head sniffing, nose-to-anogenital sniffing, crawl under / crawl over, and upright head contact. These four behaviors are of particular importance to researchers characterizing mouse social avoidance [9]. To effectively phenotype mouse social behavior, the system incorporates a novel mice tracker, and modules to represent and to classify social behavior. The mice tracker addresses the challenging computer vision problem of tracking two identical, highly deformable mice through complex occlusions. The tracker maintains an ellipse model of both mice and leverages motion cues and shape priors to maintain tracks during occlusions. Using these tracks, the classification system represents behavior with 14 spatial features characterizing relative position, relative motion, and shape. A regularized least squares (RLS) classifier, trained over representative instances of each behavior, classifies the behavior present in each frame. This system demonstrates the enormous potential for building automated systems to quantitatively study mouse social behavior.
by Nicholas Edelman.
M.Eng.
Ghadieh, Rachelle. "Phenotyping and heritability of constitutional thinness." Thesis, Lyon, 2021. https://tel.archives-ouvertes.fr/tel-03789601.
Повний текст джерелаThis thesis is divided into two parts one consisting of a review of the literature and the second one involves four manuscripts. few studies on CT were done in Europe, no data is currently available on clinical and biological aspects of constitutional thinness in Lebanon or the middle east region. CT pathology remains poorly researched and understood. This first study evaluating the heritability of CT and conducted in two cohorts of french and lebanese CT families demonstrated that CT runs in families and is a heritable trait. The genetic transmission of this trait seem to be most often autosomal recessive. The second study aimed to characterize several metabolic and nutritional features in a lebanese cohort of CT subjects. the study is the first of its kind in the middle east region and can be considered as a base for a multinational comparison of this underweight state. It demonstrated for the first time that lebanese CT persons have no signs of deficits and confirmed the major nutrition features previously described in french cohorts. Small differences described for the first time need to be confirmed by larger cohorts. The third study was the first study validating the arabic form of DEBQ. It’s not just a simple validation work, factors associated with DEBQ were also studied. DEBQ is a convenient tool to categorize behavioral factors related to individual eating patterns, including those implicated in eating disorders.The literature review manuscript was constructed and structured as a complement to the manuscript evaluating the inheritability in constitutional thinness. Overall, CT is a new topic and most studies were conducted on CT young women in Saint-Etienne - France. It is of high importance to conduct more research on CT to understand the mechanisms and heritability of extreme thinness and finding the explanation behind this phenomenon might be a step in the treatment of obesity and to meet the ct's demand and satisfy their desire to gain weight
Barker, Jared W. III. "Development of a field-based high-throughput mobile phenotyping platform." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17543.
Повний текст джерелаDepartment of Biological and Agricultural Engineering
Naiqian Zhang
In order to meet food, fiber, and bio-fuel needs of a growing world population, crop-breeding methods must be improved and new technologies must be developed. One area under focus is the decoding of the genetic basis of complex traits, such as yield and drought stress tolerance, and predicting these traits from genetic composition of lines or cultivars. In the last three decades, significant advances in genotyping methods have resulted in a wealth of genomic information; however, little improvement has occurred for methods of collecting corresponding plant trait data, especially for agronomic crops. This study developed a mobile, field-based, high-throughput sensor platform for rapid and repeated measurement of plant characteristics. The platform consisted of three sets of sensors mounted on a high-clearance vehicle. Each set of sensors contained two infrared thermometers (IRT), one ultrasonic sensor, one Crop Circle, and one GreenSeeker. Each sensor set measured canopy temperature, crop height, and spectral reflectance. In addition to the sensors, the platform was equipped with an RTK-GPS system that provided precise, accurate position data for georeferencing sensor measurements. Software for collecting, georeferencing, and logging sensor data was developed using National Instruments LabVIEW and deployed on a laptop computer. Two verification tests were conducted to evaluate the phenotyping system. In the first test, data timestamps were analyzed to determine if the system could collect data at the required rate of 10 Hz and 5 Hz for sensor data and position data, respectively. The determination was made that, on average, IRT, ultrasonic, and Crop Circle data are received in intervals of 100 ms (SD = 10 ms), GreenSeeker data are received in intervals of 122 ms(SD=10 ms), and position data are received in intervals of 200 ms (SD = 32 ms). The second test determined that a statistically significant relationship exists between sensor readings and ambient light intensity and ambient temperatures. Whether the relationship is significant from a practical stand point should be determined based on specific application of the sensors.
Pari, Marco. "Image Analysis Methods for Sugar Beet Phenotyping." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10533/.
Повний текст джерелаThomas, Shery. "Phenotyping and genotyping of idiopathic infantile nystagmus." Thesis, University of Leicester, 2010. http://hdl.handle.net/2381/7973.
Повний текст джерелаWolfer, Arnaud. "Time-dependent metabolic phenotyping of inflammatory dysregulation." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/58241.
Повний текст джерелаThomas, Rhys Huw. "Phenotyping paroxysmal conditions to empower genetic research." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/44849/.
Повний текст джерелаAtkinson, Jonathan A. "Phenotyping root architecture in diverse wheat germplasm." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/30478/.
Повний текст джерелаKiang, Tony (Kuo-Liang). "Valproic acid : mechanisms of hepatotoxicity and reaction phenotyping." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/16684.
Повний текст джерелаCheang, Mun Hong. "Comprehensive cardiovascular phenotyping of children with renal disease." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10059369/.
Повний текст джерелаJackson, Frances. "Metabolic phenotyping and metagenomic analysis of developing infants." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/58184.
Повний текст джерелаWang, Qianru Ph D. Massachusetts Institute of Technology. "Electrical-phenotyping of the bacterial envelope using microfluidics." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120197.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 109-118).
The bacterial cell envelope is a complex multi-layered covering, crucial for cell viability and physiological capabilities. Phenotypic analysis of bacterial envelopes is challenging due to the small size and low cultivability of microbes. The emerging microfluidic techniques enable quantitative and nondestructive probing of cell envelopes by measuring their physical properties. This thesis demonstrates that phenotypic variations on bacterial envelopes change their surface polarizability-an intrinsic dielectric property-in a manner that can be distinguished by microfluidic dielectrophoresis (DEP). The three-dimensional insulator-based dielectrophoresis (3DiDEP), a microfluidic technique previously reported by our group, was optimized to explore the diverse surface phenotypes of bacterial electrochemical activity and lipopolysaccharide (LPS) biosynthesis. Electrochemically active bacteria transport electrons directly from their interior to external insoluble electron accepters, e.g. metal oxides or electrodes in electrochemical systems, via a process known as extracellular electron transfer (EET), holding an exciting promise in energy conversion and bioremediation. Using 3DiDEP, we demonstrate for the first time the strong correlation between microbial EET and cell surface polarizability, generalizable to three bacterial species with variant electrochemical activities, including Geobacter sulfurreducens, Shewanella oneidensis, and Escherichia coli heterologously expressing Shewanella EET pathways. We also applied 3DiDEP to achieve rapid quantification of LPS, the major component and virulence determinant in Gram-negative bacterial outer membrane. We examined E. coli mutant strains with various LPS components truncated, and show that structural diversity in LPS affects the trapping voltages required for 3DiDEP cell immobilization. Last but not least, we studied the interplay of electrothermal and induced charge electroosmosis (ICEO) flows, which can interfere DEP operations but are often overlooked in the design of iDEP systems. The effects of fluidic ionic strength, applied electric field, and insulating channel geometry on temperature rise and fluid velocities were investigated from a theoretical and experimental viewpoint. Taken together, this thesis introduces surface polarizability as a novel physical property for assessing microbial EET and LPS composition. Dielectrophoretic screening of bacterial envelope polarizability may unlock a vast repertoire of EET- and LPS- related biochemical applications, and will be useful as guidance for further DEP-based phenotypic analysis of a diverse array of cells and organisms.
by Qianru Wang.
Ph. D.
Sawiak, Stephen John. "Computational methods for mouse brain phenotyping using MRI." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611550.
Повний текст джерелаCleary, J. O. S. "High-throughput transgenic mouse phenotyping using microscopic-MRI." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1347518/.
Повний текст джерелаChristenson, Brent Scott. "Characterization of soybean seed yield using optimized phenotyping." Thesis, Kansas State University, 2013. http://hdl.handle.net/2097/16030.
Повний текст джерелаDepartment of Agronomy
William T. Schapaugh Jr
Crops research moving forward faces many challenges to improve crop performance. In breeding programs, phenotyping has time and economic constraints requiring new phenotyping techniques to be developed to improve selection efficiency and increase germplasm entering the pipeline. The objectives of these studies were to examine the changes in spectral reflectance with soybean breeding from 1923 to 2010, evaluate band regions most significantly contributing to yield estimation, evaluate spectral reflectance data for yield estimation modeling across environments and growth stages and to evaluate the usefulness of spectral data as an optimized phenotyping technique in breeding programs. Twenty maturity group III (MGIII) and twenty maturity group IV (MGIV) soybeans, arranged in a randomized complete block design, were grown in Manhattan, KS in 2011 and 2012. Spectral reflectance data were collected over the growing season in a total of six irrigated and water- stressed environments. Partial least squares and multiple linear regression were used for spectral variable selection and yield estimation model building. Significant differences were found between genotypes for yield and spectral reflectance data, with the visible (VI) having greater differences between genotypes than the near-infrared (NIR). This study found significant correlations with year of release (YOR) in the VI and NIR portions of the spectra, with newer released cultivars tending to have lower reflectance in the VI and high reflectance in the NIR. Spectral reflectance data accounted for a large portion of variability for seed yield between genotypes using the red edge and NIR portions of the spectra. Irrigated environments tended to explain a larger portion of seed yield variability than water-stressed environments. Growth stages most useful for yield estimation was highly dependent upon the environment as well as maturity group. This study found that spectral reflectance data is a good candidate for exploration into optimized phenotyping techniques and with further research and validation datasets, may be a suitable indirect selection technique for breeding programs.
Dandekar, Samantha Sujata. "Detailed clinical phenotyping in Age-related Macular Degeneration." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1444668/.
Повний текст джерелаNorris, F. C. "Mouse embryo phenotyping using high-resolution 3D imaging." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1418468/.
Повний текст джерелаMcGill, Laura-Ann. "Novel cardiovascular magnetic resonance phenotyping of the myocardium." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/49247.
Повний текст джерелаBabahosseini, Hesam. "Single Cell Biomechanical Phenotyping using Microfluidics and Nanotechnology." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/64502.
Повний текст джерелаPh. D.
Dammannagari, Gangadhara Shravan. "Mobile high-throughput phenotyping using watershed segmentation algorithm." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/35387.
Повний текст джерелаDepartment of Computing and Information Sciences
Mitchell L. Neilsen
This research is a part of BREAD PHENO, a PhenoApps BREAD project at K-State which combines contemporary advances in image processing and machine vision to deliver transformative mobile applications through established breeder networks. In this platform, novel image analysis segmentation algorithms are being developed to model and extract plant phenotypes. As a part of this research, the traditional Watershed segmentation algorithm has been extended and the primary goal is to accurately count and characterize the seeds in an image. The new approach can be used to characterize a wide variety of crops. Further, this algorithm is migrated into Android making use of the Android APIs and the first ever user-friendly Android application implementing the extended Watershed algorithm has been developed for Mobile field-based high-throughput phenotyping (HTP).
Weindl, Karin. "Cognitive phenotyping of wildtype and mutant mouse lines." kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/644688/644688.pdf.
Повний текст джерелаCoxon, Thomas Liam. "2D and 3D phenotyping murine models of Amelogenesis imperfecta." Thesis, University of Liverpool, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539608.
Повний текст джерелаBoyd, Joseph. "Deep learning for computational phenotyping in cell-based assays." Thesis, Université Paris sciences et lettres, 2020. https://pastel.archives-ouvertes.fr/tel-02928984.
Повний текст джерелаComputational phenotyping is an emergent set of technologies for systematically studying the role of the genome in eliciting phenotypes, the observable characteristics of an organism and its subsystems. In particular, cell-based assays screen panels of small compound drugs or otherwise modulations of gene expression, and quantify the effects on phenotypic characteristics ranging from viability to cell morphology. High content screening extends the methodologies of cell-based screens to a high content readout based on images, in particular the multiplexed channels of fluorescence microscopy. Screens based on multiple cell lines are apt to differentiating phenotypes across different subtypes of a disease, representing the molecular heterogeneity concerned in the design of precision medicine therapies. These richer biological models underpin a more targeted approach for treating deadly diseases such as cancer. An ongoing challenge for high content screening is therefore the synthesis of the heterogeneous readouts in multi-cell-line screens. Concurrently, deep learning is the established state-of-the-art image analysis and computer vision applications. However, its role in high content screening is only beginning to be realised. This dissertation spans two problem settings in the high content analysis of cancer cell lines. The contributions are the following: (i) a demonstration of the potential for deep learning and generative models in high content screening; (ii) a deep learning-based solution to the problem of heterogeneity in a multi-cell-line drug screen; and (iii) novel applications of image-to-image translation models as an alternative to the expensive fluorescence microscopy currently required for high content screening
Johnson, David Herbert. "Phenotyping Rodent Models of Obesity Using Magnetic Resonance Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1250086728.
Повний текст джерелаJohnson, David Herbert. "Phenotyping rodents models of obesity using magnetic resonance imaging." Cleveland, Ohio : Case Western Reserve University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1250086728.
Повний текст джерелаSpratt, Christopher. "Development of behavioural tasks for phenotyping of transgenic mice." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/23201.
Повний текст джерелаDecalmer, Samantha Clare. "Phenotyping patients with chronic cough presenting to a specialist clinic." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494302.
Повний текст джерелаWang, Yan [Verfasser]. "Phenotyping of circulating monocytes in coronary artery diseases / Yan Wang." Ulm : Universität Ulm. Medizinische Fakultät, 2015. http://d-nb.info/1073216349/34.
Повний текст джерелаTaylor, James Michael. "Validation of a new method for platelet HPA-1 phenotyping." Virtual Press, 1999. http://liblink.bsu.edu/uhtbin/catkey/1133736.
Повний текст джерелаDepartment of Biology
Payne, Thomas. "Novel biomarkers of renal transplant failure/dysfunction via spectroscopic phenotyping." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/61777.
Повний текст джерелаAn, Nan. "Plant high-throughput phenotyping using photogrammetry and 3D modeling techniques." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20493.
Повний текст джерелаAgronomy
Kevin Price
Stephen M. Welch
Plant phenotyping has been studied for decades for understanding the relationship between plant genotype, phenotype, and the surrounding environment. Improved accuracy and efficiency in plant phenotyping is a critical factor in expediting plant breeding and the selection process. In the past, plant phenotypic traits were extracted using invasive and destructive sampling methods and manual measurements, which were time-consuming, labor-intensive, and cost-inefficient. More importantly, the accuracy and consistency of manual methods can be highly variable. In recent years, however, photogrammetry and 3D modeling techniques have been introduced to extract plant phenotypic traits, but no cost-efficient methods using these two techniques have yet been developed for large-scale plant phenotyping studies. High-throughput 3D modeling techniques in plant biology and agriculture are still in the developmental stages, but it is believed that the temporal and spatial resolutions of these systems are well matched to many plant phenotyping needs. Such technology can be used to help rapid phenotypic trait extraction aid crop genotype selection, leading to improvements in crop yield. In this study, we introduce an automated high-throughput phenotyping pipeline using affordable imaging systems, image processing, and 3D reconstruction algorithms to build 2D mosaicked orthophotos and 3D plant models. Chamber-based and ground-level field implementations can be used to measure phenotypic traits such as leaf length, rosette area in 2D and 3D, plant nastic movement, and diurnal cycles. Our automated pipeline has cross-platform capabilities and a degree of instrument independence, making it suitable for various situations.
Yu, Haipeng. "Designing and modeling high-throughput phenotyping data in quantitative genetics." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/97579.
Повний текст джерелаDoctor of Philosophy
Quantitative genetics aims to bridge the genome to phenome gap. With the advent of genotyping technologies, the genomic information of individuals can be included in a quantitative genetic model. A new challenge is to obtain sufficient and accurate phenotypes in an automated fashion with less human labor and reduced costs. The high-throughput phenotyping (HTP) technologies have emerged recently, opening a new opportunity to address this challenge. However, there is a paucity of research in phenotyping design and modeling high-dimensional HTP data. The main themes of this dissertation are 1) genomic connectedness that could potentially be used as a means to design a phenotyping experiment and 2) a novel statistical approach that aims to handle high-dimensional HTP data. In the first three studies, I first compared genomic connectedness with pedigree-based connectedness. This was followed by investigating the relationship between genomic connectedness and prediction accuracy derived from cross-validation. Additionally, I developed a connectedness R package that implements a variety of connectedness measures. The fourth study investigated a novel statistical approach by leveraging the combination of dimension reduction and graphical models to understand the interrelationships among high-dimensional HTP data.
Webster, Kevin A. Ph D. "Behavioral Phenotyping of VMAT1 Knockout Mice: Relevance to Neuropsychiatric Disorders." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4190.
Повний текст джерелаMcCarthy, John P. J. "Phenotyping the dysregulation between BMI and adiposity in adult subjects." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/12256.
Повний текст джерелаChu, Thi Ha. "Phenotyping of chronic respiratory diseases in the South of Vietnam." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/288355/4/coverpage.pdf.
Повний текст джерелаDoctorat en Sciences biomédicales et pharmaceutiques (Médecine)
info:eu-repo/semantics/nonPublished
Voide, Romain. "Functional phenotyping of bone : a hierarchical assessment of bone failure characteristics." Zürich : ETH, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17524.
Повний текст джерелаVergara, Díaz Omar. "High-throughput field phenotyping in cereals and implications in plant ecophysiology." Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/668314.
Повний текст джерелаEls efectes del canvi climàtic sobre els agro-ecosistemes i l’increment de la població mundial posa en risc la seguretat alimentària i l’estabilitat dels ecosistemes. Actualment, satisfer les demandes de producció d’aliments sota l’escenari del canvi climàtic és el repte central a la Biologia Vegetal. Per això, és indispensable entendre els mecanismes subjacents de l’aclimatació a l’estrès que permeten obtenir cultius resilients. També és precís desenvolupar nou mètodes de recerca que permetin caracteritzar de manera no destructiva els trets d’interès. L’avenç del fenotipat vegetal amb sistemes d’alt rendiment és clau per abordar aquests reptes. La present tesi s’enfoca en el blat i secundàriament en el panís com a espècies d’estudi ja que constitueixen els cultius bàsics arreu del món. Un ampli ventall de mètodes de fenotipat s’han utilitzat, des sensors RGB a híper-espectrals fins a la caracterització metabolòmica. La recerca s’ha dut a terme en assajos de camp i s’han avaluat diversos tipus d’estrès representatius de les majors limitacions pel creixement i producció vegetal: estrès hídric i biòtic i deficiència de nitrogen. Els resultats demostraren el gran potencial dels trets del color RGB (des de la planta a la capçada) pel fenotipat de camp, ja que foren indicadors precisos del rendiment a blat i panís sota condicions de malaltia i deficiència de nitrogen i de la concentració de nitrogen foliar a panís. La caracterització metabolòmica de teixits de blat contribuí a esbrinar els processos metabòlics endegats per l’estrès hídric i la seva relació amb comportament genotípic, proporcionant bio-marcadors potencials per rendiments més alts i l’adaptació a l’estrès. Estudis espectroscòpics en blat van demostrar que la dorsoventralitat pot afectar més que l’estrès hídric sobre l’espectre de reflectància i consegüentment sobre el comportament de les aproximacions multi/híper-espectrals per avaluar el rendiment i d’altres trets fenotípics com anatòmics i contingut de pigments. Finalment, l’ús de l’espectroscòpia per l’estimació del contingut metabòlic als teixits de blat resulta prometedor per molts metabòlits, la qual cosa obre les portes per a un fenotipat de nova generació. El fenotipat pot beneficiar-se d’aquestes troballes, tant en els mètodes de baix cost com de les tecnologies més sofisticades i d’avantguarda.
Khairallah, Ramzi. "Metabolic phenotyping of murine hearts overexpressing constitutively active soluble guanylate cyclase." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18805.
Повний текст джерелаUne plus grande utilisation des glucides au dépend des acides gras (AG) pour la production d'énergie a été documentée dans le cœur hypertrophique, mais il n'est toujours pas clair si ces changements métaboliques sont adaptatifs ou maladaptatifs. Étant donné que la voie du cGMP a des propriétés anti-hypertrophiques, nous avons émis l'hypothèse que des changements dans la sélection de substrats énergétiques peuvent être à l'origine de l'effet cardioprotecteur de cette voie. Des cœurs de souris qui surexpriment la guanylate cyclase spécifiquement dans les cardiomyocytes (Tg) ont été perfusés ex vivo au travail avec des substrats marqués au carbone-13. L'activité des voies métaboliques impliquées dans la production d'énergie tel que le cycle de Krebs a été corrélée à des paramètres fonctionnels et physiologiques. Comparativement aux souris témoins, les cœurs Tg maintiennent mieux leur intégrité membranaire, tel qu'indiqué par la baisse de la quantité de lactate déshydrogénase relâché par le cœur, tout en maintenant leur travail cardiaque. Au niveau métabolique, les cœurs Tg ne montrent pas de différence dans la contribution des glucides à la formation de l'acétyl-CoA malgré un flux glycolytique augmenté de 127±21% (p<0.01), alors que l'utilisation des acides gras (AG) est diminuée de 40±4% (p<0.05). Selon les résultats obtenus, cette diminution n'est pas attribuable à des changements: (i) des niveaux tissulaires du malonyl-CoA et de l'acétyl-CoA ou (ii) de l'activité du cycle de Krebs, suggérant que le statut énergétique du cœur n'est pas altéré, ou (iii) de l'expression des gènes métaboliques. Plutôt, il semblerait que les cœurs de souris GC+/0 compensent pour la baisse de la contribution des AG par une utilisation accrue des acides gras endogènes provenant des triglycérides. En effet, la quantité totale de lipase hormone-sensible est augmentée de 46±6% et son ARNm de 22±4%. De plus, sa pho
Wetzel, Franziska. "Biomechanical Phenotyping of Cells in Tissue and Determination of Impact Factors." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-144866.
Повний текст джерелаIbrahim, Baharudin. "Exhaled breath analysis for diagnosis and phenotyping in obstructive lung diseases." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/exhaled-breath-analysis-for-diagnosis-and-phenotyping-in-obstructive-lung-diseases(17a130d4-4c44-43af-a006-65939c7315f7).html.
Повний текст джерелаMalt, Layla. "Comparative phenotyping of Salmonella serovars in the context of epithelial infection." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665154.
Повний текст джерелаHalpern, Yonatan. "Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine." Thesis, New York University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10192124.
Повний текст джерелаMedical informatics plays an important role in precision medicine, delivering the right information to the right person, at the right time. With the introduction and widespread adoption of electronic medical records, in the United States and world-wide, there is now a tremendous amount of health data available for analysis.
Electronic record phenotyping refers to the task of determining, from an electronic medical record entry, a concise descriptor of the patient, comprising of their medical history, current problems, presentation, etc. In inferring such a phenotype descriptor from the record, a computer, in a sense, "understands'' the relevant parts of the record. These phenotypes can then be used in downstream applications such as cohort selection for retrospective studies, real-time clinical decision support, contextual displays, intelligent search, and precise alerting mechanisms.
We are faced with three main challenges:
First, the unstructured and incomplete nature of the data recorded in the electronic medical records requires special attention. Relevant information can be missing or written in an obscure way that the computer does not understand.
Second, the scale of the data makes it important to develop efficient methods at all steps of the machine learning pipeline, including data collection and labeling, model learning and inference.
Third, large parts of medicine are well understood by health professionals. How do we combine the expert knowledge of specialists with the statistical insights from the electronic medical record?
Probabilistic graphical models such as Bayesian networks provide a useful abstraction for quantifying uncertainty and describing complex dependencies in data. Although significant progress has been made over the last decade on approximate inference algorithms and structure learning from complete data, learning models with incomplete data remains one of machine learning’s most challenging problems. How can we model the effects of latent variables that are not directly observed?
The first part of the thesis presents two different structural conditions under which learning with latent variables is computationally tractable. The first is the "anchored'' condition, where every latent variable has at least one child that is not shared by any other parent. The second is the "singly-coupled'' condition, where every latent variable is connected to at least three children that satisfy conditional independence (possibly after transforming the data).
Variables that satisfy these conditions can be specified by an expert without requiring that the entire structure or its parameters be specified, allowing for effective use of human expertise and making room for statistical learning to do some of the heavy lifting. For both the anchored and singly-coupled conditions, practical algorithms are presented.
The second part of the thesis describes real-life applications using the anchored condition for electronic phenotyping. A human-in-the-loop learning system and a functioning emergency informatics system for real-time extraction of important clinical variables are described and evaluated.
The algorithms and discussion presented here were developed for the purpose of improving healthcare, but are much more widely applicable, dealing with the very basic questions of identifiability and learning models with latent variables - a problem that lies at the very heart of the natural and social sciences.
Amaral, Andreia Vanessa Campos Pusich. "Micropropagation, phenotyping and genotyping of chestnut progenies obtained from controlled crosses." Master's thesis, ISA, 2020. http://hdl.handle.net/10400.5/21510.
Повний текст джерелаPhytophthora cinnamomi is an oomycete that infects the roots and can cause the death of trees belonging to the Fagaceae family, such as genus Castanea. Ink disease is currently considered the major threat to chestnut trees in Europe, causing a high decrease in nut production, which is the highest income of mountain regions of Trás-os-Montes. Thus, genetic improvement for resistance aiming to developing new chestnut varieties less susceptible to this pathogen is very important for the national economy. The European species, Castanea sativa Mill., is susceptible to Phytophthora cinnamomi, while Asian species are resistant due to coevolution with the pathogen. INIAV initiated in 2006 a breeding program based on controlled crosses, using Asian species, namely Castanea crenata Sieb. & Zucc. (Japanese) and Castanea mollissima Blume (Chinese) as donors of resistance, and the sensitive European species as female progenitor with the objective of obtaining segregating progenies for the resistance character. During this thesis, phenotyping and genotyping of progenies of crosses performed in 2016 was carried out in order to select the most resistant individuals and try to associate resistance with fragment analysis patterns. This phenotyping-genotyping analysis was performed with 16 microsatellites in 47 genotypes and the result was 4 alleles that may be related to resistance. Was also performed the micropropagation of the genotypes SM904, SC55, SC1202 and SC914, already selected with improved resistance during the project on course, where this thesis fits. Calculations for multiplication rate and rooting percentage were made, important for the characterization of the genotypes. Genotype SM904 showed the highest result for both analysis. My work also contributes to one of the objectives of the current research program, which is to obtain new genotypes with improved resistance to Phytophthora cinnamomi to be used as rootstocks compatible for grafting with the national chestnut varieties of nut production
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Bala, Divya Chandrakant. "Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71428.
Повний текст джерелаMaster of Science
Pan, Cuiping. "Phosphoproteomics and proteomic phenotyping to assess signal transduction in cancer cells." Diss., kostenfrei, 2008. http://edoc.ub.uni-muenchen.de/9241/.
Повний текст джерела