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Books on the topic 'OMIEC'

Author: Grafiati

Published: 29 June 2021

Last updated: 6 February 2022

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1

Gupta, Sanjeev, Nagasamy Nadarajan, and Debjyoti Sen Gupta, eds. Legumes in the Omic Era. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-8370-0.

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2

Daniels, Ronald J. Econ omic analysis of law. [Toronto, Ont.]: Faculty of Law, University of Toronto, 1991.

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3

Haapanen, Atso. Asevelisurmat: Kenttäoikeuksissa vuosina 1939-1944 omien sotilaiden surmista tuomitut. Helsinki: Minerva, 2013.

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4

Kop, Hans van der. Omie en Eddie: Een Indisch familieleven, 1872-1955. Leeuwarden: Eisma, 1996.

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5

Cytrynowicz, Roney, and Monica Musatti Cytrynowicz. OMEC UMC: Universidade de Mogi das Cruzes : 1962-2002. [Brazil: s.n., 2002.

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6

Azuaje, Francisco. Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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7

Azuaje, Francisco. Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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8

Azuaje, Francisco. Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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9

Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine. Hoboken, NJ: John Wiley & Sons, 2010.

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10

Roberts, Simon David. Econ omic and monetary union and the peripheral regions of the European Union. [S.l: The Author], 1996.

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11

Abel, Jessica. Trish Trash: Rollergirl of Mars. New York: Papercutz, 2016.

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12

author, Thomas Roy 1940, Pacheco Carlos 1961-, Buscema John, Oback Sonia, Quintana Wil, Cowles Clayton, Lanham Travis, Walker David, and Thomas Roy, eds. Occupy Avengers: Taking back justice. New York, NY: Marvel Worldwide, Incorporated, 2017.

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13

Gawlikowski, Krzysztof, Ma¿gorzata ¿awacz, and Andrzej Chojnowski. Azja Wschodnia na prze¿omie XX i XXI wieku: Stosunki mie ·dzynarodowe i gospodarcze : studia i szkice. Warszawa: Instytut Studio w Politycznych Polskiej Akademii Nauk, 2004.

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14

Sloan, Derek. Econ omic and regional development in Northern Ireland - a study into the causes, government response and possible solutions to the problems of rural and urban areas. [S.l: The Author], 1997.

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15

Petrucha, Stefan. The old fashioned mystery of the haunted dollhouse. New York: Papercutz, 2005.

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16

Randolph, Opia, and Otire Selby, eds. [Omie language publications]. Ukarumpa, Papua New Guinea: Summer Institute of Linguistics, 1993.

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17

Tieri, Paolo, Christine Nardini, and Jennifer Elizabeth Dent, eds. Multi-omic Data Integration. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-648-7.

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18

Omic Studies of Neurodegenerative Disease. Elsevier Science & Technology Books, 2015.

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19

Legumes In The Omic Era. Springer-Verlag New York Inc., 2013.

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20

Gupta, Sanjeev, Nagasamy Nadarajan, and Debjyoti Sen Gupta. Legumes in the Omic Era. Springer, 2016.

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21

Romualdi, Chiara, Enrica Calura, Davide Risso, Sampsa Hautaniemi, and Francesca Finotello, eds. Multi-omic Data Integration in Oncology. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88966-151-0.

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22

Hurley, Michael J. Omic Studies of Neurodegenerative Disease - Part B. Elsevier Science & Technology, 2015.

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23

Omic Studies of Neurodegenerative Disease: Part A. Elsevier, 2015. http://dx.doi.org/10.1016/s0074-7742(15)x0003-1.

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24

Omic Studies of Neurodegenerative Disease: Part B. Elsevier, 2015. http://dx.doi.org/10.1016/s0074-7742(15)x0004-3.

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25

González, Juan R., and Alejandro Cáceres. Omic Association Studies with R and Bioconductor. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429440557.

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26

Data Analysis for Omic Sciences: Methods and Applications. Elsevier, 2018. http://dx.doi.org/10.1016/s0166-526x(18)x0004-x.

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27

Berger, Alvin, and Matthew A. Roberts. Understanding Lipid Metabolism with Microarrays and Other Omic Approaches. Taylor & Francis Group, 2004.

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28

Azuaje, Francisco. Bioinformatics and Biomarker Discovery: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Incorporated, John, 2009.

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29

Hasanuzzaman, Mirza, Kamrun Nahar, and Majeti Narasimha Vara Prasad. Cadmium Tolerance in Plants: Agronomic, Molecular, Signaling, and Omic Approaches. Elsevier Science & Technology, 2019.

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30

Azuaje, Francisco. Bioinformatics and Biomarker Discovery: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Incorporated, John, 2011.

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31

Azuaje, Francisco. Bioinformatics and Biomarker Discovery: Omic Data Analysis for Personalized Medicine. Wiley & Sons, Incorporated, John, 2011.

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32

Quiroz-Castañeda, Rosa Estela, ed. Farm Animals Diseases, Recent Omic Trends and New Strategies of Treatment. InTech, 2018. http://dx.doi.org/10.5772/63390.

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33

Abel, Jessica. Trish Trash: Rollergirl of Mars Omnibus. Super Genius, 2019.

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34

Abel, Jessica. Trish Trash: Rollergirl of Mars Omnibus. Super Genius, 2019.

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35

Forest Ecosystems in Industrial Regions: Studies on the Cycling of Energy Nutrients and Pollutants in the Niepo?omice Forest Southern Poland. Springer, 2012.

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36

Guo, Yong, and Claudia F. Lucchinetti. Taking a Microscopic Look at Multiple Sclerosis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199341016.003.0005.

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The pathology of multiple sclerosis is complex, extends beyond the white matter plaque, and is influenced by stage of demyelinating activity, clinical course, disease duration, and treatment. Technological advances in immunology, molecular biology, and “omic” biology have provided novel insights into the mechanisms for development of white matter plaques, axonal damage, cortical demyelination, and disease progression. Detailed, systematic, and statistically rigorous pathological studies on clinically well-characterized MS cohorts have helped define the heterogeneous pathological substrates of MS and unravel the complex molecular pathogenic mechanisms, with the ultimate goal of identifying targets for therapeutic interventions. It is increasingly clear that the use of human tissues is imperative to improve current diagnostic, prognostic, and therapeutic modalities. Preclinical animal models have been invaluable for discovery of key immune processes, basic disease mechanisms, and candidate immune targeting strategies, but the conclusions have yet be reconciled with the essential features of the human disease.

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37

Vermeulen, Roel, Douglas A. Bell, Dean P. Jones, Montserrat Garcia-Closas, Avrum Spira, Teresa W. Wang, Martyn T. Smith, Qing Lan, and Nathaniel Rothman. Application of Biomarkers in Cancer Epidemiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0006.

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Advancements in OMICs are now enabling investigators to explore comprehensively the biological consequences of exogenous and endogenous exposures by detecting molecular signatures of exposure, early signs of adverse biological effects, preclinical disease, and molecularly defined cancer subtypes. These new technologies have proven invaluable for assembling a comprehensive portrait of human exposure, health, and disease. This includes hypothesis-driven biomarkers, as well as platforms that can agnostically analyze entire biologic processes and “compartments,” including the measurement of small molecules (metabolomics), DNA polymorphisms and rarer inherited variants (genomics), methylation and microRNA (epigenomics), chromosome-wide alterations, mRNA (transcriptomics), proteins (proteomics), and the microbiome (microbiomics). Although the implementation of these technologies in epidemiologic studies has already shown great promise, some challenges of particular importance must be addressed. Non-genetic OMIC markers vary over time due to both random variation and physiologic changes. Therefore, there is an urgent need for cohorts to collect repeat biological samples over time.

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38

Thun, Michael J., Martha S. Linet, James R. Cerhan, Christopher A. Haiman, and David Schottenfeld. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0001.

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This Introduction provides a broad overview of the scientific advances and crosscutting developments that increasingly influence epidemiologic research on the causes and prevention of cancer. High-throughput technologies have identified the molecular “driver” events in tumor tissue that underlie the multistage development of many types of cancer. These somatic (largely acquired) alterations disrupt normal genetic and epigenetic control over cell maintenance, division and survival. Tumor classification is also changing to reflect the genetic and molecular alterations in tumor tissue, as well as the anatomic, morphologic, and histologic phenotype of the cancer. Genome-wide association studies (GWAS) have identified more than 700 germline (inherited) genetic loci associated with susceptibility to various forms of cancer, although the risk estimates for almost all of these are small to modest and their exact location and function remain to identified. Advances in genomic and other “OMIC” technologies are identifying biomarkers that reflect internal exposures, biological processes and intermediate outcomes in large population studies. While research in many of these areas is still in its infancy, mechanistic and molecular assays are increasingly incorporated into etiologic studies and inferences about causation. Other sections of the book discuss the global public health impact of cancer, the growing list of exposures known to affect cancer risk, the epidemiology of over 30 types of cancer by tissue of origin, and preventive interventions that have dramatically reduced the incidence rates of several major cancers.

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