Добірка наукової літератури з теми "Multi-omic analysis"
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Статті в журналах з теми "Multi-omic analysis"
Lancaster, Samuel M., Akshay Sanghi, Si Wu, and Michael P. Snyder. "A Customizable Analysis Flow in Integrative Multi-Omics." Biomolecules 10, no. 12 (November 27, 2020): 1606. http://dx.doi.org/10.3390/biom10121606.
Повний текст джерелаLi, Jin, Feng Chen, Hong Liang, and Jingwen Yan. "MoNET: an R package for multi-omic network analysis." Bioinformatics 38, no. 4 (October 25, 2021): 1165–67. http://dx.doi.org/10.1093/bioinformatics/btab722.
Повний текст джерелаBoekel, Jorrit, John M. Chilton, Ira R. Cooke, Peter L. Horvatovich, Pratik D. Jagtap, Lukas Käll, Janne Lehtiö, Pieter Lukasse, Perry D. Moerland, and Timothy J. Griffin. "Multi-omic data analysis using Galaxy." Nature Biotechnology 33, no. 2 (February 2015): 137–39. http://dx.doi.org/10.1038/nbt.3134.
Повний текст джерелаMorota, Gota. "30 Mutli-omic data integration in quantitative genetics." Journal of Animal Science 97, Supplement_2 (July 2019): 15. http://dx.doi.org/10.1093/jas/skz122.027.
Повний текст джерелаSangaralingam, Ajanthah, Abu Z. Dayem Ullah, Jacek Marzec, Emanuela Gadaleta, Ai Nagano, Helen Ross-Adams, Jun Wang, Nicholas R. Lemoine, and Claude Chelala. "‘Multi-omic’ data analysis using O-miner." Briefings in Bioinformatics 20, no. 1 (August 4, 2017): 130–43. http://dx.doi.org/10.1093/bib/bbx080.
Повний текст джерелаvon der Heyde, Silvia, Margarita Krawczyk, Julia Bischof, Thomas Corwin, Peter Frommolt, Jonathan Woodsmith, and Hartmut Juhl. "Clinically relevant multi-omic analysis of colorectal cancer." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e16063-e16063. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e16063.
Повний текст джерелаBeheshti, Ramin, Steven Hicks, and Patrick Frangos. "Multi-omic Analysis Enhances Prediction Of Infantile Wheezing." Journal of Allergy and Clinical Immunology 151, no. 2 (February 2023): AB210. http://dx.doi.org/10.1016/j.jaci.2022.12.654.
Повний текст джерелаHale, Andrew T., Lisa Bastarache, Diego M. Morales, John C. Wellons, David D. Limbrick, and Eric R. Gamazon. "Multi-omic analysis elucidates the genetic basis of hydrocephalus." Cell Reports 35, no. 5 (May 2021): 109085. http://dx.doi.org/10.1016/j.celrep.2021.109085.
Повний текст джерелаHenry, V. J., A. E. Bandrowski, A. S. Pepin, B. J. Gonzalez, and A. Desfeux. "OMICtools: an informative directory for multi-omic data analysis." Database 2014 (July 14, 2014): bau069. http://dx.doi.org/10.1093/database/bau069.
Повний текст джерелаBeheshti, Ramin, Shane Stone, Desirae Chandran, and Steven D. Hicks. "Multi-Omic Profiles in Infants at Risk for Food Reactions." Genes 13, no. 11 (November 3, 2022): 2024. http://dx.doi.org/10.3390/genes13112024.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаThavamani, Abhishek [Verfasser], and 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.
Повний текст джерелаVITRIOLO, 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.
Повний текст джерелаCarriot, 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.
Повний текст джерелаThe 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.
Повний текст джерелаWang, Dongxue [Verfasser], Bernhard [Akademischer Betreuer] Küster, Bernhard [Gutachter] Küster, and 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.
Повний текст джерела(10723641), Nathaphon Yu King Hing. "A Multi-Omic Characterization Of The Calvin-Benson-Bassham Cycle In Cyanobacteria." Thesis, 2021.
Знайти повний текст джерелаThis 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.
Повний текст джерелаTassinari, 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.
Повний текст джерела2020-01-25
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.
Повний текст джерелаЧастини книг з теми "Multi-omic analysis"
Mason, Christopher E., Sandra G. Porter, and Todd M. Smith. "Characterizing Multi-omic Data in Systems Biology." In 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.
Повний текст джерелаYaneske, Elisabeth, and Claudio Angione. "A Data- and Model-Driven Analysis Reveals the Multi-omic Landscape of Ageing." In Bioinformatics and Biomedical Engineering, 145–54. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56148-6_12.
Повний текст джерелаTikunov, Andrey P., Jeremiah D. Tipton, Timothy J. Garrett, Sachi V. Shinde, Hong Jin Kim, David A. Gerber, Laura E. Herring, Lee M. Graves, and Jeffrey M. Macdonald. "Green Chemistry Preservation and Extraction of Biospecimens for Multi-omic Analyses." In Methods in Molecular Biology, 267–98. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1811-0_17.
Повний текст джерелаGülfidan, Gizem, Kazım Yalçın Arga, Dilek Demircan Çeker, and Abdullah Karadağ. "Çoklu-Omik Veri Entegrasyonu: Yöntem, Araç Ve Sağlık Uygulamaları." In Moleküler Biyoloji ve Genetik, 687–706. Türkiye Bilimler Akademisi, 2023. http://dx.doi.org/10.53478/tuba.978-625-8352-48-1.ch26.
Повний текст джерелаТези доповідей конференцій з теми "Multi-omic analysis"
Fan, Ziling, Yuan Zhou, and Habtom W. Ressom. "MOTA: Multi-omic integrative analysis for biomarker discovery." In 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.
Повний текст джерелаMa, Tianle, and Aidong Zhang. "Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621379.
Повний текст джерелаLund, Jim, Shannon Bailey, Muhammad Ekram, David Shahbazian, Lorenzo Memeo, Paul Hofman, Richard Williams, and Jeff Gulcher. "Abstract 1333: High-quality multi-omic analysis of FFPE samples." In 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.
Повний текст джерелаZhang, Aidong. "Deep Learning and Networks for Integrative Analysis of Multi-Omic Data." In 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.
Повний текст джерелаBarefoot, Megan E., Rency S. Varghese, Yuan Zhou, Cristina Di Poto, Alessia Ferrarini, and Habtom W. Ressom. "Multi-omic Pathway and Network Analysis to Identify Biomarkers for Hepatocellular Carcinoma." In 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.
Повний текст джерелаVasquez, Jacob M., and Joel Desharnais. "Abstract 2854: Multi-omic considerations: Exploring LBgard blood tubes for proteomic analysis." In 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.
Повний текст джерелаKhalyfa, A., Z. Qiao, M. Raju, C. R. Shyu, A. Castro Grattoni, A. Ericsson, and D. Gozal. "Monocarboxylate Transporter-2 (MCT2) in Murine Model of Lung Cancer: A Multi-Omic Analysis." In 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.
Повний текст джерелаOrlando, Krystal A., Jesse R. Raab, Jessica D. Lang, William P. Hendricks, Yemin Wang, David G. Huntsman, Jeffrey M. Trent, Joel S. Parker, and Bernard E. Weissman. "Abstract 4318: Identifying drivers of SMARCA4/BRG1-deficient SCCOHT tumorigenesis by integrative multi-omic analysis." In 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.
Повний текст джерелаPatel, 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." In 33rd Annual Meeting North American Skull Base Society. Georg Thieme Verlag KG, 2024. http://dx.doi.org/10.1055/s-0044-1779830.
Повний текст джерелаZwimpfer, Tibor A., Flavio Lombardo, Natalie Rimmer, Sandra Götze, Franziska Singer, Anne Bertolini, Céline Montavon, Christian Kurzeder, Francis Jacob, and Viola Heinzelmann-Schwarz. "#174 Integrated multi-omic and clinicopathological analysis of vulvar squamous cell carcinoma: identification of predictive biomarkers for personalized treatment." In ESGO 2023 Congress. BMJ Publishing Group Ltd, 2023. http://dx.doi.org/10.1136/ijgc-2023-esgo.773.
Повний текст джерелаЗвіти організацій з теми "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), April 2019. http://dx.doi.org/10.2172/1504276.
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