Literatura académica sobre el tema "Multi-omic analysis"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Multi-omic analysis".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Multi-omic analysis"
Lancaster, Samuel M., Akshay Sanghi, Si Wu y Michael P. Snyder. "A Customizable Analysis Flow in Integrative Multi-Omics". Biomolecules 10, n.º 12 (27 de noviembre de 2020): 1606. http://dx.doi.org/10.3390/biom10121606.
Texto completoLi, Jin, Feng Chen, Hong Liang y Jingwen Yan. "MoNET: an R package for multi-omic network analysis". Bioinformatics 38, n.º 4 (25 de octubre de 2021): 1165–67. http://dx.doi.org/10.1093/bioinformatics/btab722.
Texto completoBoekel, Jorrit, John M. Chilton, Ira R. Cooke, Peter L. Horvatovich, Pratik D. Jagtap, Lukas Käll, Janne Lehtiö, Pieter Lukasse, Perry D. Moerland y Timothy J. Griffin. "Multi-omic data analysis using Galaxy". Nature Biotechnology 33, n.º 2 (febrero de 2015): 137–39. http://dx.doi.org/10.1038/nbt.3134.
Texto completoMorota, Gota. "30 Mutli-omic data integration in quantitative genetics". Journal of Animal Science 97, Supplement_2 (julio de 2019): 15. http://dx.doi.org/10.1093/jas/skz122.027.
Texto completoSangaralingam, Ajanthah, Abu Z. Dayem Ullah, Jacek Marzec, Emanuela Gadaleta, Ai Nagano, Helen Ross-Adams, Jun Wang, Nicholas R. Lemoine y Claude Chelala. "‘Multi-omic’ data analysis using O-miner". Briefings in Bioinformatics 20, n.º 1 (4 de agosto de 2017): 130–43. http://dx.doi.org/10.1093/bib/bbx080.
Texto completovon der Heyde, Silvia, Margarita Krawczyk, Julia Bischof, Thomas Corwin, Peter Frommolt, Jonathan Woodsmith y Hartmut Juhl. "Clinically relevant multi-omic analysis of colorectal cancer." Journal of Clinical Oncology 38, n.º 15_suppl (20 de mayo de 2020): e16063-e16063. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e16063.
Texto completoBeheshti, Ramin, Steven Hicks y Patrick Frangos. "Multi-omic Analysis Enhances Prediction Of Infantile Wheezing". Journal of Allergy and Clinical Immunology 151, n.º 2 (febrero de 2023): AB210. http://dx.doi.org/10.1016/j.jaci.2022.12.654.
Texto completoHale, Andrew T., Lisa Bastarache, Diego M. Morales, John C. Wellons, David D. Limbrick y Eric R. Gamazon. "Multi-omic analysis elucidates the genetic basis of hydrocephalus". Cell Reports 35, n.º 5 (mayo de 2021): 109085. http://dx.doi.org/10.1016/j.celrep.2021.109085.
Texto completoHenry, V. J., A. E. Bandrowski, A. S. Pepin, B. J. Gonzalez y A. Desfeux. "OMICtools: an informative directory for multi-omic data analysis". Database 2014 (14 de julio de 2014): bau069. http://dx.doi.org/10.1093/database/bau069.
Texto completoBeheshti, Ramin, Shane Stone, Desirae Chandran y Steven D. Hicks. "Multi-Omic Profiles in Infants at Risk for Food Reactions". Genes 13, n.º 11 (3 de noviembre de 2022): 2024. http://dx.doi.org/10.3390/genes13112024.
Texto completoTesis sobre el tema "Multi-omic analysis"
Bilbrey, Emma A. "Seeding Multi-omic Improvement of Apple". The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1594907111820227.
Texto completoThavamani, Abhishek [Verfasser] y Alfred [Akademischer Betreuer] Nordheim. "Integrated multi-omic analysis of HCC formation in the SRF-VP16iHep mouse model / Abhishek Thavamani ; Betreuer: Alfred Nordheim". Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1173699864/34.
Texto completoVITRIOLO, ALESSANDRO. "MULTI-OMIC DECONVOLUTION OF THE REGULATORY NETWORKS UNDERLYING NEURODEVELOPMENTAL AND AUTISM SPECTRUM DISORDERS: A MULTIDIMENTIONAL ANALYSIS FOR A NEW DISEASE MODELLING PARADIGM". Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/609586.
Texto completoCarriot, Nathan. "Caractérisation de la production métabolique de biofilms marins. : Vers une application à l'étude de biofilms complexes in situ". Electronic Thesis or Diss., Toulon, 2022. http://www.theses.fr/2022TOUL0001.
Texto completoThe phenomenon of biofouling is a natural process that impacts all the surfaces submerged in the marine environment, generating major economic and ecological problems on a global scale. It is induced by the formation of marine biofilms corresponding to the colonization of submerged surfaces by bacteria organizing in communities by surrounding themselves with a matrix of extracellular polymeric substances (EPS). The objective of this work is the use and development of methodologies to study and understand the precursor stage of this phenomenon. The correlation of the data collected from the applied methods (metabolomics and molecular network, proteomics, colorimetric assays, microscopies, spectroscopy) allows a multi-scale approach for the characterization of biofilms. These developments aim, first of all, to characterize the overall biochemical production of in vitro biofilms and then analyse natural biofilms formed in situ. The use of this wide range of techniques has made it possible to answer certain scientific questions such as the impact of nutrients (phosphates), an enzyme (quorum sensing) or hydrodynamics on the nature of formed biofilms
Ciaccio, Roberto <1990>. "Multi-omic analyses of the MYCN network unveil new potential vulnerabilities in childhood neuroblastoma". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9930/1/PhD%20thesis%20Ciaccio%20Roberto_2021.pdf.
Texto completoWang, Dongxue [Verfasser], Bernhard [Akademischer Betreuer] Küster, Bernhard [Gutachter] Küster y Julien [Gutachter] Gagneur. "Comprehensive characterization of the human proteome by multi-omic analyses / Dongxue Wang ; Gutachter: Bernhard Küster, Julien Gagneur ; Betreuer: Bernhard Küster". München : Universitätsbibliothek der TU München, 2018. http://d-nb.info/1172415145/34.
Texto completo(10723641), Nathaphon Yu King Hing. "A Multi-Omic Characterization Of The Calvin-Benson-Bassham Cycle In Cyanobacteria". Thesis, 2021.
Buscar texto completoThis dissertation examines the influence of light intensity on enzymatic abundances and the resulting Calvin-Benson-Bassham cycle fluxes using a combined proteomic and fluxomic approach in the model cyanobacteria Synechocystis sp. PCC 6803. The correlation between light intensity and enzymatic abundances is evaluated to determine which reactions are more regulated by enzymatic abundance. Additionally, carbon enrichment data from isotopic labelling experiments strongly suggest metabolite channeling as a flexible and light-dependent regulatory mechanism present in cyanobacteria. We propose and substantiate biological mechanisms that explains the formation of metabolite channels under specific redox conditions.
The same multi-omic approach was used to examine genetically modified cyanobacteria. Specifically, genetically engineered and conditionally growth-enhanced Synechocystis strains overexpressing the central Calvin-Benson-Bassham cycle enzymes FBP/SBPase or transketolase were evaluated. We examined the effect of the heterologous expression of each of these enzymes on the Calvin-Benson-Bassham cycle, as well as on adjacent central metabolic pathways. Using both proteomics and fluxomics, we demonstrate distinct increases in Calvin-Benson-Bassham cycle efficiency as a result of lowered oxidative pentose phosphate pathway activity. This work demonstrates the utility of a multi-omic approach in characterizing the differing phenotypes arising from environmental and genetic changes.
Sharma, Supriya. "Integrative analysis of complex genomic and epigenomic maps". Thesis, 2018. https://hdl.handle.net/2144/27437.
Texto completoTassinari, Anna. "Multi-omic biomarker discovery and network analyses to elucidate the molecular mechanisms of lung cancer premalignancy". Thesis, 2017. https://hdl.handle.net/2144/27344.
Texto completo2020-01-25
Gagliardi, Miriam. "Integrative analyses of multi-omic data applied to the study of a rare human disease, the ICF syndrome". Tesi di dottorato, 2016. http://www.fedoa.unina.it/11107/1/Tesi_Miriam_Gagliardi.pdf.
Texto completoCapítulos de libros sobre el tema "Multi-omic analysis"
Mason, Christopher E., Sandra G. Porter y Todd M. Smith. "Characterizing Multi-omic Data in Systems Biology". En Systems Analysis of Human Multigene Disorders, 15–38. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8778-4_2.
Texto completoYaneske, Elisabeth y Claudio Angione. "A Data- and Model-Driven Analysis Reveals the Multi-omic Landscape of Ageing". En Bioinformatics and Biomedical Engineering, 145–54. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56148-6_12.
Texto completoTikunov, Andrey P., Jeremiah D. Tipton, Timothy J. Garrett, Sachi V. Shinde, Hong Jin Kim, David A. Gerber, Laura E. Herring, Lee M. Graves y Jeffrey M. Macdonald. "Green Chemistry Preservation and Extraction of Biospecimens for Multi-omic Analyses". En Methods in Molecular Biology, 267–98. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1811-0_17.
Texto completoGülfidan, Gizem, Kazım Yalçın Arga, Dilek Demircan Çeker y Abdullah Karadağ. "Çoklu-Omik Veri Entegrasyonu: Yöntem, Araç Ve Sağlık Uygulamaları". En Moleküler Biyoloji ve Genetik, 687–706. Türkiye Bilimler Akademisi, 2023. http://dx.doi.org/10.53478/tuba.978-625-8352-48-1.ch26.
Texto completoActas de conferencias sobre el tema "Multi-omic analysis"
Fan, Ziling, Yuan Zhou y Habtom W. Ressom. "MOTA: Multi-omic integrative analysis for biomarker discovery". En 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857049.
Texto completoMa, Tianle y Aidong Zhang. "Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis". En 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621379.
Texto completoLund, Jim, Shannon Bailey, Muhammad Ekram, David Shahbazian, Lorenzo Memeo, Paul Hofman, Richard Williams y Jeff Gulcher. "Abstract 1333: High-quality multi-omic analysis of FFPE samples". En Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-1333.
Texto completoZhang, Aidong. "Deep Learning and Networks for Integrative Analysis of Multi-Omic Data". En 2018 IEEE 8th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2018. http://dx.doi.org/10.1109/iccabs.2018.8541962.
Texto completoBarefoot, Megan E., Rency S. Varghese, Yuan Zhou, Cristina Di Poto, Alessia Ferrarini y Habtom W. Ressom. "Multi-omic Pathway and Network Analysis to Identify Biomarkers for Hepatocellular Carcinoma". En 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856576.
Texto completoVasquez, Jacob M. y Joel Desharnais. "Abstract 2854: Multi-omic considerations: Exploring LBgard blood tubes for proteomic analysis". En Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-2854.
Texto completoKhalyfa, A., Z. Qiao, M. Raju, C. R. Shyu, A. Castro Grattoni, A. Ericsson y D. Gozal. "Monocarboxylate Transporter-2 (MCT2) in Murine Model of Lung Cancer: A Multi-Omic Analysis". En American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a4695.
Texto completoOrlando, Krystal A., Jesse R. Raab, Jessica D. Lang, William P. Hendricks, Yemin Wang, David G. Huntsman, Jeffrey M. Trent, Joel S. Parker y Bernard E. Weissman. "Abstract 4318: Identifying drivers of SMARCA4/BRG1-deficient SCCOHT tumorigenesis by integrative multi-omic analysis". En Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-4318.
Texto completoPatel, Bhuvic, Thomas F. Barrett, Saad M. Khan, Riley Mullens, Aldrin K. Yim, Sangami Pugazenthi, Tatenda Mahlokozera et al. "Multi-omic Analysis of Sporadic Vestibular Schwannoma Reveals a Nerve Injury-Like State and Novel Molecular Targets". En 33rd Annual Meeting North American Skull Base Society. Georg Thieme Verlag KG, 2024. http://dx.doi.org/10.1055/s-0044-1779830.
Texto completoZwimpfer, Tibor A., Flavio Lombardo, Natalie Rimmer, Sandra Götze, Franziska Singer, Anne Bertolini, Céline Montavon, Christian Kurzeder, Francis Jacob y Viola Heinzelmann-Schwarz. "#174 Integrated multi-omic and clinicopathological analysis of vulvar squamous cell carcinoma: identification of predictive biomarkers for personalized treatment". En ESGO 2023 Congress. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/ijgc-2023-esgo.773.
Texto completoInformes sobre el tema "Multi-omic analysis"
Banfield, Jill. Multi-‘omic’ analyses of the dynamics, mechanisms, and pathways for carbon turnover in grassland soil under two climate regimes. Office of Scientific and Technical Information (OSTI), abril de 2019. http://dx.doi.org/10.2172/1504276.
Texto completo