Дисертації з теми "Gene-For-Gene interaction"
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Assareh, Amin. "OPTIMIZING DECISION TREE ENSEMBLES FOR GENE-GENE INTERACTION DETECTION." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353971575.
Bendahmane, Abdelhafid. "Analysis of a gene-for-gene interaction associated with Rx-mediated resistance to potato virus X." Thesis, University of East Anglia, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389350.
Aleknonytė-Resch, Milda [Verfasser], Astrid [Akademischer Betreuer] Dempfle, and Hinrich [Gutachter] Schulenburg. "The Validity and Statistical Power of the Case-Only Study Design for Interaction Analysis : Gene-Gene Interaction and the Role of Genotype Imputation in Gene-Environment Interaction / Milda Aleknonytė-Resch ; Gutachter: Hinrich Schulenburg ; Betreuer: Astrid Dempfle." Kiel : Universitätsbibliothek Kiel, 2021. http://d-nb.info/1229916962/34.
Elisson, Hanna. "Uncertainty in Genetic Mapping and Gene Interaction for Diabetes in Rats." Thesis, Uppsala University, Department of Mathematics, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122559.
MacGowan, Alice Laura. "Embryonic retinoid deficiency and congenital malformation : evidence for gene-environment interaction." Thesis, University of Sheffield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398657.
Thi, Cam Thach Doan. "A GRAPHICAL USER INTERFACE FOR LARGE-SCALE GENE EXPRESSION ANALYSIS." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20870.
Program: Masterutbildning i Informatik
Korkmaz, Gulberal Kircicegi Yoksul. "Mining Microarray Data For Biologically Important Gene Sets." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614266/index.pdf.
Piqueras, Matias. "HERITABILITY FOR SOCIAL TRUST ACROSS SOCIOECONOMIC STATUS: : Is There a Gene-Environment Interaction?" Thesis, Uppsala universitet, Statsvetenskapliga institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-394876.
Cai, Yu. "Molecular Characterization of the mop2, a Gene Required for Epigenetic Silencing." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/195361.
Mietzsch, Mario [Verfasser]. "Adeno-Associated Virus Vectors for Gene Therapy : From Scalable Production Systems via Serotype-Specific Glycan Interaction Patterns to Gene Transfer Applications / Mario Mietzsch." Berlin : Freie Universität Berlin, 2014. http://d-nb.info/1055942203/34.
Sadie, Hanel. "Interaction of SF-1 and Nur77 proteins from a gonadotrope cell line with the promoter of the GnRH receptor gene : implications for gene regulation." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52307.
ENGLISH ABSTRACT: The regulation of gonadotropin releasing hormone (GnRH) receptor numbers in the pituitary is a crucial control point in reproduction. Pituitary sensitivity to GnRH can be directly correlated with GnRH receptor levels, which can be regulated at transcriptional and post-transcriptional level. The proximal promoter of the mouse GnRH receptor gene contains two cis elements bearing the consensus sequence for a Steroidogenic Factor-l (SF -1) binding site. The distal site has previously been shown to be involved in basal and tissue-specific transcriptional regulation, whereas the function of the proximal site was not established. SF-I, a member of the nuclear receptor superfamily of transcription factors, is involved in the transcriptional regulation of a large number of genes involved in steroidogenesis and reproduction. The consensus SF-I binding site can serve as a binding site for several members of the nuclear receptor superfamily. The aim of this study was to investigate the binding of SF-I protein from the aT3-1 gonadotrope cell line to the two putative SF-I binding sites in the mouse GnRH receptor promoter in vitro, in order to provide supporting evidence for their functional roles in GnRH receptor gene regulation. It was shown by Western blotting that SF-I and Nur77, another nuclear receptor transcription factor, are both expressed in aT3-1 cells, in a manner that is influenced by cell culture conditions. Gel mobility shift assays using specific antibodies showed that both SF-I and Nur77 protein in aT3-1 nuclear extracts bind to both sites in a mutually exclusive fashion. As shown by competition assays using mutated versions of the two sites, Nur77 protein had different base pair requirements than that of SF-I protein for binding to the sites. Additionally, SF-I mRNA was shown by Northern blotting to be increased in aT3-1 cells in response to stimulation of the Protein Kinase A (PKA) pathway by forskolin. These results highlight unexpected degeneracy in so-called "consensus" nuclear receptor binding sites. Furthermore, since Nur77 protein is involved in the stress response of the hypothalamic-pituitary-adrenal (HPA) axis, the unexpected presence of Nur77 protein in a gonadotrope cell line has potentially important implications for cross-talk between the HPA and hypothalamic-pituitary-gonadal (HPG) axes.
AFRIKAANSE OPSOMMING: Daar bestaan 'n direkte verband tussen pituïtêre sensitiwiteit vir gonadotropien-vrystellingshormoon (GnRH) en GnRH-reseptorvlakke Die regulering van GnRH-reseptorvlakke op transkripsionele en post-transkripsionele vlak in die pituïtêre klier is belangrik by die beheer van voortplantingsfunksies. Die proksimale promotor van die GnRH-reseptorgeen in die muis bevat twee cis elemente met die konsensus volgorde vir 'n Steroidogenic Factor-l (SF-I) bindingsetel. Die distale element is betrokke by basale en weefsel-spesifieke transkripsionele regulering, maar die funksie van die proksimale element is nog nie vasgestel nie. SF-1 is 'n lid van die superfamilie van selkernreseptore en is betrokke by die transkripsionele regulering van gene verantwoordelik vir steroïedogenese en voortplanting. Die konsensus SF-I bindingsvolgorde kan dien as bindingsetel vir verskeie selkernreseptore. Ten einde 'n beter insig ten opsigte van die regulering van die GnRH reseptorgeen te verkry, is ondersoek ingestel na die binding van SF-I-proteïen, afkomstig van die aT3-1 pituïtêre gonadotroopsellyn, aan die twee moontlike SF-l bindingsetels in die GnRH-reseptor promotor, in vitro. Die Western-klad metode het getoon dat beide SF-l en Nur77, 'n ander selkernreseptor-transkripsiefaktor, in die aT3-1 sellyn uitgedruk word. Die uitdrukking is afhanklik van selkultuurtoestande. Elektroforetiese mobiliteitsessais met spesifieke antiliggame het getoon dat SF-l en Nur77 proteïene in aT3-1 selkernproteïenekstraksies eksklusief aan beide bindingsetels bind. Nur77 proteïen benodig ander basispare as SF-l proteïen om aan die bindingsetels te bind. Hierdie resultate dui op onverwagse degenerasie in sogenaamde "konsensus" selkernreseptor-bindingsvolgordes. Die Northern-kladmetode het ook getoon dat SF-l mRNA vlakke in aT3-1 selle styg wanneer die proteïenkinase A (PKA) pad gestimuleer word met forskolin. Aangesien Nur77 proteïen betrokke is by die stres-respons van die hipotalamus-pituïtêre klier-adrenale (HP A) aksis, hou die onverwagse teenwoordigheid van Nur77 proteïen in 'n gonadotroop-sellyn potensieel belangrike inplikasies in vir kommunikasie tussen die HPA-aksis en die hipotalamus-pituïtêre klier-gonadale (HPG) aksis.
Dafas, Panagiotis A. "Frequency rule mining for effective protein-protein interaction inference from gene expression and protein structures." Thesis, City University London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492255.
Singh, Lovepreet. "Characterization of new sources and superior gene combinations for durable resistance to leaf rust in barley." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/24783.
Ackerman-Alexeeff, Stacey Elizabeth. "Measurement error in environmental exposures: Statistical implications for spatial air pollution models and gene environment interaction tests." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11077.
Pelliccia, M. "STRATEGIES FOR ENHANCING VIRAL GENE TRANSFER AND THE THERMOSTABILITY OF VIRAL VECTORS IN VACCINE APPLICATIONS." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/265518.
Pizzato, Massimo. "Retroviral vectors for gene therapy : characterisation of vector particle-cell interaction and development of novel packaging cell lines." Thesis, Institute of Cancer Research (University Of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313365.
Rubin, Joel Edward. "Locus control region activity by 5'HS3 requires a functional interaction with ß-globin gene regulatory elements, identification of effective ß/[gamma]-globin minigenes for gene therapy of the ß-chain hemoglobinopathies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0025/MQ50431.pdf.
Armando, Marco. "Psychotic like experiences and 22q11 microdeletion syndrome : two possible models for the investigation of gene-enviroment interaction in psychotic onset." Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/3940/.
Mota, Lúcio Flávio Macêdo. "Estimation of genotype-environment interaction using genomic reaction norm and analysis of gene network for reproductive traits in Nellore cattle /." Jaboticabal, 2019. http://hdl.handle.net/11449/181612.
Banca: Mário Luiz Santana Júnior
Banca: Fernando Sebastian Baldi Rey
Banca: Ana Fabrícia Braga Magalhães
Banca: Roberto Carvalheiro
Abstract: Genotype-environment (GxE) interactions could be an important source of variation in reproductive traits with a striking effect on the onset of animal puberty. Thus, the objectives of the present study were: i) to assess the GxE interaction in Nellore sexual precocity indicator traits under different environmental conditions (EC) and ii) to identify, genomic regions and biological pathways associated to Nellore sexual precocity indicator traits and to investigate whether their effects changes according to EC levels. Phenotypic records for age at first calving (AFC), heifer early pregnancy (HP), heifer rebreeding (HR) and scrotal circumference (SC) were collected on 128,994; 85,339; 90,831 and 151,053 animals, respectively. From those, 1800 heifers, 3050 young bulls, and 800 sires were genotyped with BovineHD BeadChip. A reaction norm model was used to estimate the animal's response to environmental conditions changes. To assess the predictive ability the younger scheme and environment-specific scheme were used. For genome-wide scan, the SNP effects for reproductive traits were estimated in three EC levels: Low (EC = -3.0), Medium (EC = 0.0) and High (EC = 3.0) using a linear transformation of the genomic breeding values. The pleiotropic regions associated to reproductive traits (AFC, SC, HP and HR) in three EC levels, were identified using the statistical combination of the single-trait GWAS results and considered significant when -log10(p-valor)>6.0. The inclusion of genomic... (Complete abstract click electronic access below)
Resumo: A interação genótipo-ambiente (GxE) pode ser uma importante fonte de variação em características reprodutivas com um efeito notável no início da puberdade animal. Desta forma, os objetivos do presente estudo foram: i) Avaliar a interação GxE em características indicadores de precocidade sexual em animais da raça Nelore em diferentes condições ambientais (EC) e ii) identificar regiões genômicas e vias biológicas associadas a características indicadores de precocidade sexual e verificar se seus efeitos mudam de acordo com os níveis de EC. Informações fenotípicas para idade ao primeiro parto (AFC), ocorrência de prenhez precoce (HP), reconcepção de novilhas (HR) e perímetro escrotal (SC), foram coletados em 128.994, 85.339, 90.831 e 151.053 animais, respectivamente. Destes, 1800 novilhas, 3050 touros jovens e 800 touros foram genotipados com BovineHD BeadChip. Um modelo de norma de reação foi usado para estimar a resposta do animal às mudanças nas condições ambientais. Para avaliar a capacidade preditiva, foram utilizados os esquemas de validação em animais jovens e em ambiente específico. Para varredura genômica ampla os efeitos dos marcadores SNP para as características reprodutivas foram estimados em três níveis de EC Baixo (EC = -3.0), Médio (EC = 0.0) e Alto (EC = 3.0) usando uma transformação linear dos valores genômicos genéticos. As regiões pleiotrópicas associadas com características reprodutivas (AFC, SC, HP e HR) em três EC foram identificadas utilizando a combinação ... (Resumo completo, clicar acesso eletrônico abaixo)
Doutor
Burbanks, Samuel IV. "Gene-Culture Interaction and its Effect on Cognitive Flexibility Among People of African and European Descent: Providing a Rational for Culturally Centered Pedagogy." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511881054307915.
Du, Shenxiu [Verfasser]. "Functional Characterizations of the Reciprocal Interaction of the Circadian Clock gene Time for coffee (TIC) with Stress and Energy in Arabidopsis / Shenxiu Du." Bonn : Universitäts- und Landesbibliothek Bonn, 2017. http://d-nb.info/1130704610/34.
Martin, Isabelle. "Étude du déterminisme moléculaire des Interactions compatibles et incompatibles Vitis vinifera-Nepovirus-Nicotiana occidentalis (InViNNo)." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAJ102.
Grapevine fanleaf virus (genus Nepovirus) the causative agent of fanleaf degeneration, induces variable symptoms. This manuscript presents a mechanistic study of GFLV symptomatology on both an herbaceous model plant and an agronomically important crop plant.On N. occidentalis, I demonstrated that GFLV-F13 induces a reaction exhibiting hallmarks of a hypersensitive response (HR), partially restricting virus spread. Using reassortants, recombinants and natural variants of the virus, I could identify and map the viral determinant of this HR. On grapevine, I took advantage of a unique experimental set-up and used RNA-Seq to compare the transcriptoms of Gewurztraminer plants infected with two different GFLV strains, one of which induced stunting symptoms and the other mild symptoms. 1,023 genes among which genes involved in the regulation of HR, were specifically regulated by the more severe strain This is the first hint of a HR taking place in grapevine in response to a virus infection
Louet, Clémentine. "Analyses évolutive et moléculaire des déterminants génétiques impliqués dans l’interaction entre l’agent de la rouille du peuplier et son hôte." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0264.
Melampsora larici-populina (Basidiomycete, Pucciniales) is an obligate biotrophic plant pathogen that successively infects two hosts, poplar and larch, and produces five spore types during its life cycle. This fungus is the causal agent of poplar rust, the main sanitary constraint in European poplar cultures. One of the objectives of the UMR Tree/Microorganism Interactions is to characterize the molecular determinants involved in the interaction between poplar and M. larici-populina and to study their evolution. This thesis which relied on diverse research fields, ranging from population genetics to protein biochemistry, led to the development of three projects. First, a study, combining molecular approaches and population genetics, identified a significant association between the evolution of the candidate avirulence gene AvrMlp7 and the breakdown of the RMlp7-mediated resistance carried by some poplar cultivars. The association and coexistence of two alterations at the candidate locus confer virulence, providing for the first time insights on the genetic determinants responsible for a breakdown event in this pathogen. Second, an effort was made to develop functional approaches on this pathosystem. The expression of the candidate effector AvrMlp7 in the heterologous system Nicotiana benthamiana highlighted its chloroplastic localization, suggesting its potential role in modulating functions associated with this organelle. However, despite extensive functional investigations, the avirulence function of this candidate gene has not yet been formally demonstrated. Third, based on transcriptomic data, families of transcription factors could be associated with specific biological transitions along the life cycle of M. larici-populina. The cold-shock protein (CSP) family was found to be tightly associated with the exit of dormancy and the production of basidia and basidiospores from telia following an overwintering period. This study identifies for the first time factors regulating fundamental biological processes in Pucciniales, beyond the predominantly studied infection processes. In perspective, thanks to the added-values of combining several research fields, this thesis work opens new avenues in our attempt to understanding host-pathogen interactions
Tellier, AureÌlien. "A theory of polymorphism in gene-for-gene interactions." Thesis, University of East Anglia, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439932.
Schmid, Ramona [Verfasser], and Roland [Akademischer Betreuer] Eils. "Analyzing Compounds’ Mode of Action - A Use Case for New Approaches Utilizing Protein Interaction Networks and Prior Knowledge to Complement State-of-the-Art Gene Expression Analyses / Ramona Schmid ; Betreuer: Roland Eils." Heidelberg : Universitätsbibliothek Heidelberg, 2012. http://d-nb.info/1179786343/34.
Sanders, Chelsea L. "Gene-Environment Interaction: Brain-Derived Neurotrophic Factor (BDNF) as a Moderating Factor for the Effects of Exercise and Diet on Cognitive and Mental Health: The Cache County Study on Memory in Aging." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/7163.
Deodhar, Sushamna Shriniwas. "Using Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions in Genetic Epidemiology." NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-10302009-181439/.
Vardarajan, Badri N. "Identification of gene-gene interactions for Alzheimer's disease using co-operative game theory." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12868.
The multifactorial nature of Alzheimer's Disease suggests that complex gene-gene interactions are present in AD pathways. Contemporary approaches to detect such interactions in genome-wide data are mathematically and computationally challenging. We investigated gene-gene interactions for AD using a novel algorithm based on cooperative game theory in 15 genome-wide association study (GWAS) datasets comprising of a total of 11,840 AD cases and 10,931 cognitively normal elderly controls from the Alzheimer Disease Genetics Consortium (ADGC). We adapted this approach, which was developed originally for solving multi-dimensional problems in economics and social sciences, to compute a Shapely value statistic to identify genetic markers that contribute most to coalitions of SNPs in predicting AD risk. Treating each GWAS dataset as independent discovery, markers were ranked according to their contribution to coalitions formed with other markers. Using a backward elimination strategy, markers with low Shapley values were eliminated and the statistic was recalculated iteratively. We tested all two-way interactions between top Shapley markers in regression models which included the two SNPs (main effects) and a term for their interaction. Models yielding a p-value<0.05 for the interaction term were evaluated in each of the other datasets and the results from all datasets were combined by meta-analysis. Statistically significant interactions were observed with multiple marker combinations in the APOE regions. My analyses also revealed statistically strong interactions between markers in 6 regions; CTNNA3-ATP11A (p=4.1E-07), CSMD1-PRKCQ (p=3.5E-08), DCC-UNC5CL (p=5.9e-8), CNTNAP2-RFC3 (p=1.16e-07), AACS-TSHZ3 (p=2.64e-07) and CAMK4-MMD (p=3.3e-07). The Shapley value algorithm outperformed Chi-Square and ReliefF in detecting known interactions between APOE and GAB2 in a previously published GWAS dataset. It was also more accurate than competing filtering methods in identifying simulated epistastic SNPs that are additive in nature, but its accuracy was low in identifying non-linear interactions. The game theory algorithm revealed strong interactions between markers in novel genes with weak main effects, which would have been overlooked if only markers with strong marginal association with AD were tested. This method will be a valuable tool for identifying gene-gene interactions for complex diseases and other traits.
Schmitt, Dominique [Verfasser], Michael [Gutachter] Sendtner, and Erich [Gutachter] Buchner. "Initial characterization of mouse Syap1 in the nervous system: Search for interaction partners, effects of gene knockdown and knockout, and tissue distribution with focus on the adult brain / Dominique Schmitt ; Gutachter: Michael Sendtner, Erich Buchner." Würzburg : Universität Würzburg, 2017. http://d-nb.info/1130588033/34.
Dang, Hoang Viet. "Identification of gene-gene and gene-environment interactions for flowering time and grain yield using a multi-parental mapping population in barley." Thesis, Dang, Hoang Viet (2021) Identification of gene-gene and gene-environment interactions for flowering time and grain yield using a multi-parental mapping population in barley. PhD thesis, Murdoch University, 2021. https://researchrepository.murdoch.edu.au/id/eprint/62713/.
Win, Joe. "Molecular Quest for Avirulence Factors in Venturia inaequalis." Thesis, University of Auckland, 2004. http://hdl.handle.net/2292/397.
Alavi, Hajar Karimi. "Development of mechanistic mathematical models for gene-mediated drug-drug interactions." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/development-of-mechanistic-mathematical-models-for-genemediated-drugdrug-interactions(b38da88a-bb2a-4667-9809-21a09c8feeeb).html.
Dameh, Mustafa, and n/a. "Insights into gene interactions using computational methods for literature and sequence resources." University of Otago. Department of Anatomy & Structural Biology, 2008. http://adt.otago.ac.nz./public/adt-NZDU20090109.095349.
Mickler, Frauke Martina. "Live-cell imaging elucidates cellular interactions of gene nanocarriers for cancer therapy." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-165829.
Golding, Pauline Lindsay. "Development of a statistical method for the identification of gene-environment interactions." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6520.
Tamburino, Alex M. "A Gene-Centered Method For Mapping 3’UTR-RBP Interactions: A Dissertation." eScholarship@UMMS, 2015. https://escholarship.umassmed.edu/gsbs_diss/793.
Tamburino, Alex M. "A Gene-Centered Method For Mapping 3’UTR-RBP Interactions: A Dissertation." eScholarship@UMMS, 2008. http://escholarship.umassmed.edu/gsbs_diss/793.
van, der Aa Eveline Maria. "Synthesis and Characterization of Nucleobase-Containing Polyelectrolytes for Gene Delivery." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/33008.
Master of Science
Taha, May. "Probing sequence-level instructions for gene expression." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTT096/document.
Gene regulation is tightly controlled to ensure a wide variety of cell types and functions. These controls take place at different levels and are associated with different genomic regulatory regions. An actual challenge is to understand how the gene regulation machinery works in each cell type and to identify the most important regulators. Several studies attempt to understand the regulatory mechanisms by modeling gene expression using epigenetic marks. Nonetheless, these approaches rely on experimental data which are limited to some samples, costly and time-consuming. Besides, the important component of gene regulation based at the sequence level cannot be captured by these approaches. The main objective of this thesis is to explain mRNA expression based only on DNA sequences features. In a first work, we use Lasso penalized linear regression to predict gene expression using DNA features such as transcription factor binding site (motifs) and nucleotide compositions. We measured the accuracy of our approach on several data from the TCGA database and find similar performance as that of models fitted with experimental data. In addition, we show that nucleotide compositions of different regulatory regions have a major impact on gene expression. Furthermore, we rank the influence of each regulatory regions and show a strong effect of the gene body, especially introns.In a second part, we try to increase the performances of the model. We first consider adding interactions between nucleotide compositions and applying non-linear transformations on predictive variables. This induces a slight increase in model performances.To go one step further, we then learn deep neuronal networks. We consider two types of neural networks: multilayer perceptrons and convolution networks. Hyperparameters of each network are optimized. The performances of both types of networks appear slightly higher than those of a Lasso penalized linear model. In this thesis, we were able to (i) demonstrate the existence of sequence-level instructions for gene expression and (ii) provide different frameworks based on complementary approaches. Additional work is ongoing, in particular with the last direction based on deep learning, with the aim of detecting additional information present in the sequence
Altarawy, Doaa Abdelsalam Ahmed Mohamed. "DeTangle: A Framework for Interactive Prediction and Visualization of Gene Regulatory Networks." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/85504.
Ph. D.
Rauschhuber, Christina. "Analysis of Adenovirus-Host Interactions to Improve Recombinant Adenoviral Vectors for Gene Therapy." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-128560.
Ucar, Duygu. "Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250656196.
Harpe, Anke von. "Polyethylenimine derivatives for gene transfer : Polymer synthesis, coupling of ligands and interactions with DNA /." Marburg : Görich & Weiershäuser, 2000. http://www.gbv.de/dms/bs/toc/319704181.pdf.
Thorén, Per. "Membrane interactions of arginine-rich peptides for the intracellular delivery of gene-targeted drugs /." Göteborg : Chalmers Univ. of Technology, 2003. http://www.gbv.de/dms/bs/toc/37405925X.pdf.
Broc, Camilo. "Variable selection for data aggregated from different sources with group of variable structure." Thesis, Pau, 2019. http://www.theses.fr/2019PAUU3048.
During the last decades, the amount of available genetic data on populations has growndrastically. From one side, a refinement of chemical technologies have made possible theextraction of the human genome of individuals at an accessible cost. From the other side,consortia of institutions and laboratories around the world have permitted the collectionof data on a variety of individuals and population. This amount of data raised hope onour ability to understand the deepest mechanisms involved in the functioning of our cells.Notably, genetic epidemiology is a field that studies the relation between the geneticfeatures and the onset of a disease. Specific statistical methods have been necessary forthose analyses, especially due to the dimensions of available data: in genetics, informationis contained in a high number of variables compared to the number of observations.In this dissertation, two contributions are presented. The first project called PIGE (Pathway-Interaction Gene Environment) deals with gene-environment interaction assessments.The second one aims at developing variable selection methods for data which has groupstructures in both the variables and the observations.The document is divided into six chapters. The first chapter sets the background of this work,where both biological and mathematical notations and concepts are presented and gives ahistory of the motivation behind genetics and genetic epidemiology. The second chapterpresent an overview of the statistical methods currently in use for genetic epidemiology.The third chapter deals with the identification of gene-environment interactions. It includesa presentation of existing approaches for this problem and a contribution of the thesis. Thefourth chapter brings off the problem of meta-analysis. A definition of the problem and anoverview of the existing approaches are presented. Then, a new approach is introduced.The fifth chapter explains the pleiotropy studies and how the method presented in theprevious chapter is suited for this kind of analysis. The last chapter compiles conclusionsand research lines for the future
Gerson, Rosalind J. "The Interaction Between Sir3 and Sir4 is Dispensable for Silent Chromatin Spreading in Budding Yeast." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32232.
Skaggs, Hollie Suzanne. "IMPLICATIONS FOR THE INTERACTION BETWEEN THE HEAT SHOCK TRANSCRIPTION FACTORS AND THE TRANSLOCATED PROMOTER REGION PROTEIN." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_diss/503.
Huttner, Nadja. "Adeno-associated virus type 2 as vector for human gene therapy: Characterization of virus-host interactions." Diss., lmu, 2003. http://nbn-resolving.de/urn:nbn:de:bvb:19-14207.
duVerle, David Alexander. "Building a Machine-Learning Framework for Protein Interactions: Calpain Cleavage Prediction and Gene Regulatory Network Inference." 京都大学 (Kyoto University), 2012. http://hdl.handle.net/2433/157921.
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