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Libros sobre el tema "Metabolomics and trascriptomics analysis"

Autor: Grafiati
Publicado: 11 de marzo de 2023

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1

K, Saito, Dixon Richard A. 1951- y Willmitzer Lothar, eds. Plant metabolomics. Berlin: Springer, 2006.

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2

Xia, Yinglin, Jun Sun y Xiaotao Shen, Ph.D., Stanford University School of Medicine. Statistical Data Analysis of Microbiomes and Metabolomics. Washington, DC, USA: American Chemical Society, 2022. http://dx.doi.org/10.1021/acsinfocus.7e5035.

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3

Li, Shuzhao, ed. Computational Methods and Data Analysis for Metabolomics. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0239-3.

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4

Wolfram, Weckwerth, ed. Metabolomics: Methods and protocols. Totowa, N.J: Humana Press, 2007.

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5

Datta, Susmita y Bart J. A. Mertens, eds. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45809-0.

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6

Roessner, Ute y Daniel Anthony Dias. Metabolomics tools for natural product discovery: Methods and protocols. New York: Humana Press, 2013.

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7

Bagchi, Debasis. Genomics, proteomics, and metabolomics in nutraceuticals and functional foods. Ames, Iowa: Wiley-Blackwell, 2010.

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8

Bagchi, Debasis, Anand Swaroop y Manashi Bagchi. Genomics, proteomics and metabolomics in nutraceuticals and functional foods. Chichester, West Sussex: John Wiley & Sons, Inc., 2015.

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9

Armitage, Emily G. Correlation-based network analysis of cancer metabolism: A new systems biology approach in metabolomics. New York: Springer, 2014.

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10

Debasis, Bagchi, Lau Francis y Bagchi Manashi, eds. Genomics, proteomics, and metabolomics in nutraceuticals and functional foods. Ames, Iowa: Wiley-Blackwell, 2010.

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11

Molecular analysis and genome discovery. 2a ed. Chichester, West Sussex: John Wiley & Sons, 2011.

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12

Bjerrum, Jacob T. Metabonomics: Methods and protocols. New York: Humana Press, 2015.

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13

Dixon, Richard A., Lothar Willmitzer y Kazuki Saito. Plant Metabolomics. Springer Berlin / Heidelberg, 2010.

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14

Wiedmer, Susanne y Tuulia Hyotylainen. Chromatographic Methods in Metabolomics. Royal Society of Chemistry, The, 2013.

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15

Brereton, R. G. Data Analysis and Chemometrics for Metabolomics. Wiley & Sons, Limited, John, 2023.

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16

Wehrens, Ron y Reza M. Salek. Metabolomics: Practical Guide to Design and Analysis. Taylor & Francis Group, 2019.

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17

Metabolomics: Practical Guide to Design and Analysis. Taylor & Francis Group, 2019.

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18

Wehrens, Ron y Reza Salek. Metabolomics: Practical Guide to Design and Analysis. Taylor & Francis Group, 2019.

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19

Li, Shuzhao. Computational Methods and Data Analysis for Metabolomics. Springer, 2021.

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20

Wehrens, Ron y Reza Salek. Metabolomics: Practical Guide to Design and Analysis. Taylor & Francis Group, 2019.

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21

Li, Shuzhao. Computational Methods and Data Analysis for Metabolomics. Springer, 2020.

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22

Wehrens, Ron y Reza Salek. Metabolomics: Practical Guide to Design and Analysis. Taylor & Francis Group, 2019.

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23

Weckwerth, Wolfram. Metabolomics: Methods and Protocols. Humana Press, 2010.

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24

Burre, Prof Mike. Mass Spectrometry in Metabolomics (Advanced Methods). Taylor & Francis, 2008.

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25

Plant Metabolomics (Biotechnology in Agriculture and Forestry). Springer, 2006.

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26

Metabolomics Data Processing and Data Analysis—Current Best Practices. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1195-5.

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27

Clay, Elizabeth. Chapter 11 Metabolomics in the Analysis of Inflammatory Diseases. InTechOpen, 2012.

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28

Plant Metabolomics (Biotechnology in Agriculture and Forestry Book 57). Springer, 2006.

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29

Datta, Susmita y Bart J. a. Mertens. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Springer, 2016.

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30

Datta, Susmita y Bart J. a. Mertens. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Springer International Publishing AG, 2016.

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31

Datta, Susmita y Bart J. A. Mertens. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Springer, 2018.

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32

Weckwerth, Wolfram. Metabolomics: Methods and Protocols (Methods in Molecular Biology). Humana Press, 2006.

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33

Roessner, Ute y Daniel Anthony Dias. Metabolomics Tools for Natural Product Discovery: Methods and Protocols. Humana Press, 2016.

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34

Griffiths, William. Lipid Mass Spectrometry in Metabolomics and Systems Biology (Wiley - Interscience Series on Mass Spectrometry). Wiley-Interscience, 2007.

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35

Gamete and Embryo Selection: Genomics, Metabolomics and Morphological Assessment. Springer, 2014.

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36

Bagchi, Debasis, Manashi Bagchi y Francis Lau. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods. Wiley & Sons, Incorporated, John, 2010.

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37

Katz-Jaffe, Mandy G., Denny Sakkas y Carlos E. Sueldo. Gamete and Embryo Selection: Genomics, Metabolomics and Morphological Assessment. Springer, 2014.

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38

Bagchi, Debasis, Anand Swaroop y Manashi Bagchi. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods. Wiley & Sons, Incorporated, John, 2015.

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39

Bagchi, Debasis, Anand Swaroop y Manashi Bagchi. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods. Wiley & Sons, Limited, John, 2015.

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40

Bagchi, Debasis, Anand Swaroop y Manashi Bagchi. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods. Wiley & Sons, Incorporated, John, 2015.

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41

Castro-Puyana, María, Miguel Herrero y María Luisa Marina, eds. Capillary Electrophoresis in Food Analysis. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150361521220201.

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This reference describes recent advances and applications of capillary electrophoresis in the field of food science. The first two chapters are devoted to the fundamentals of capillary electrophoresis, and to the main sample preparation techniques used for food analysis using this miniaturized separation technique, respectively. These two introductory chapters are followed by several chapters focused on the different strategies for analyzing specific food components, including lipids, carbohydrates, proteins, peptides, amino acids, vitamins, polyphenols, and food additives. The information provided in these chapters helps readers to understand and develop appropriate methods to carry out a deep characterization of food samples. Relevant concepts such as food authentication, chemical food safety or the control of the quality and safety of dietary supplements, and food metabolomics are also covered, where appropriate. The big potential of capillary electrophoresis to achieve chiral separations and the determination of enantiomers in food samples or to develop targeted and non-targeted metabolomics strategies to ensure food safety and quality is also described. As an additional step towards analytical miniaturization, a chapter devoted to food analysis by microchip electrophoresis is also included in this book. All 14 chapters are contributed by highly experienced researchers in the field. Capillary Electrophoresis in Food Analysis is a key source of information for food chemists and analytical chemists in industry (quality control laboratories) and academia (research labs and training courses).
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42

Bjerrum, Jacob T. Metabonomics: Methods and Protocols. Springer New York, 2016.

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43

Munro, Carol A. y Duncan Wilson. Fungal genomics and transcriptomics. Editado por Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum y Rohini J. Manuel. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755388.003.0006.

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The advent of whole-genome sequencing has resulted in a range of platforms for large-scale analysis of the DNA (genomics), RNA (transcriptomics), protein (proteomics), and metabolite (metabolomics) content of cells. These inclusive ‘omics’ approaches have allowed for unparalleled insights into fungal biology. In this chapter we will discuss how genomics and transcriptomics have been used to broaden our understanding of the biology of human pathogenic fungi and their interactions with their hosts.
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44

Suffredini, Anthony F. y J. Perren Cobb. Genetic and molecular expression patterns in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0031.

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Investigators who study RNA, proteins, or metabolites use analytic platforms that simultaneously measure changes in the relative abundance of thousands of molecules in a single biological sample. Over the last decade, the application of these high-throughput, genome-wide platforms to study critical illness and injury has generated huge quantities of data that require specialized computational skills for analysis. These investigations hold promise for improving our understanding of the host response, thereby transforming the practice of intensive care. This chapter summarizes recent technological and computational approaches used in genomics, proteomics, and metabolomics. While major advances have been made with these approaches when applied to chronic diseases, the acute nature of critical illness and injury has unique challenges. The rapidity of initiating events, the trajectory of inflammation that follows injury or infection and the interplay of host responses to a replicating infection, all have major effects on changes in gene and molecular expression. This complexity is further accentuated by measurement that may vary with the timing and type of tissue sampled after the critical event. In addition, the hunt for novel molecular markers holds promise for identifying patients at risk for severe illness and for enabling more individualized therapy.
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