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1

Santamaría, Enrique, i Joaquín Fernández-Irigoyen, red. Current Proteomic Approaches Applied to Brain Function. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7119-0.

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2

Mauro, Fasano, red. The proteomic approach in neurodegenerative disease research. Trivandrum, Kerala, India: Research Signpost, 2007.

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Mauro, Fasano, red. The proteomic approach in neurodegenerative disease research. Trivandrum, Kerala, India: Research Signpost, 2007.

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4

Gil, Alterovitz, Benson Roseann i Ramoni Marco F, red. Automation in proteomics and genomics: An engineering case-based approach. Chichester, West Sussex, U.K: John Wiley, 2008.

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5

Ye, Shui Qing. Bioinformatics: A practical approach. Boca Raton: Chapman & Hall/CRC, 2008.

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Proteomics Approaches to Unravel Virus - Vertebrate Host Interactions. Elsevier, 2021. http://dx.doi.org/10.1016/s0065-3527(21)x0002-4.

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Gerold, Gisa. Proteomics Approaches to Unravel Virus - Vertebrate Host Interactions. Elsevier Science & Technology, 2021.

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Gerold, Gisa. Proteomics Approaches to Unravel Virus- Vertebrate Host Interactions. Elsevier Science & Technology Books, 2021.

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Stoyanov, Alexandre. Separation Science and Proteomics: Current Trends and New Approaches. Elsevier Science & Technology Books, 2017.

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Stoyanov, Alexandre. Separation Science and Proteomics: Current Trends and New Approaches. Elsevier Science & Technology Books, 2018.

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Issaq, Haleem J. Proteomic and Metabolomic Approaches to Biomarker Discovery. Elsevier Science & Technology, 2013.

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Issaq, Haleem J., i Timothy D. Veenstra. Proteomic and Metabolomic Approaches to Biomarker Discovery. Elsevier Science & Technology, 2019.

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Proteomic and Metabolomic Approaches to Biomarker Discovery. Elsevier Science & Technology Books, 2013.

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Issaq, Haleem J., i Timothy D. Veenstra. Proteomic and Metabolomic Approaches to Biomarker Discovery. Elsevier Science & Technology Books, 2019.

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15

(Editor), Michael E. Burczynski, i John C. Rockett (Editor), red. Surrogate Tissue Analysis: Genomic, Proteomic, and Metabolomic Approaches. CRC, 2005.

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Xia, Xuhua. Bioinformatics and the Cell: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics. Springer, 2018.

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Xia, Xuhua. Bioinformatics and the Cell: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics. Springer, 2019.

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18

Bioinformatics and the Cell: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics. Springer, 2007.

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Xia, Xuhua. Bioinformatics and the Cell: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics. Springer London, Limited, 2007.

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20

Xia, Xuhua. Bioinformatics and the Cell: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics. Springer, 2010.

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21

E, Burczynski Michael, i Rockett John C, red. Surrogate tissue analysis: Genomic, proteomic and metabolomic approaches. Boca Raton: Taylor & Francis, 2005.

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Burczynski, Michael E., i John C. Rockett. Surrogate Tissue Analysis: Genomic, Proteomic, and Metabolomic Approaches. Taylor & Francis Group, 2005.

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Burczynski, Michael E., i John C. Rockett. Surrogate Tissue Analysis: Genomic, Proteomic, and Metabolomic Approaches. Taylor & Francis Group, 2005.

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Burczynski, Michael E., i John C. Rockett. Surrogate Tissue Analysis: Genomic, Proteomic, and Metabolomic Approaches. Taylor & Francis Group, 2010.

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25

Surrogate tissue analysis: Genomic, proteomic, and metabolomic approaches. Boca Raton, FL: CRC/Taylor & Francis, 2004.

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Lopez-Camarillo, Cesar, red. Oncogenomics and Cancer Proteomics - Novel Approaches in Biomarkers Discovery and Therapeutic Targets in Cancer. InTech, 2013. http://dx.doi.org/10.5772/1745.

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(Editor), Charles Brenner, i David Duggan (Editor), red. Oncogenomics: Molecular Approaches to Cancer. Wiley-Liss, 2004.

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Duggan, David, i Charles Brenner. Oncogenomics: Molecular Approaches to Cancer. Wiley & Sons, Incorporated, John, 2005.

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29

Munro, Carol A., i Duncan Wilson. Fungal genomics and transcriptomics. Redaktorzy Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum i 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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30

Mitxelena, Jone. Proteomic Approaches to Unraveling the RB. INTECH Open Access Publisher, 2012.

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31

Proteomic and Metabolomic Approaches to Biomarker Discovery. Elsevier, 2013. http://dx.doi.org/10.1016/c2011-0-06994-6.

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Proteomic and Metabolomic Approaches to Biomarker Discovery. Elsevier, 2020. http://dx.doi.org/10.1016/c2018-0-03967-5.

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33

Santamaría, Enrique, i Joaquín Fernández-Irigoyen. Current Proteomic Approaches Applied to Brain Function. Springer New York, 2018.

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34

Santamaría, Enrique, i Joaquín Fernández-Irigoyen. Current Proteomic Approaches Applied to Brain Function. Humana Press, 2017.

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35

Majid, Sabhiya, Muneeb U. Rehman i Shafat Ali. Proteomics: A Promising Approach for Cancer Research. Elsevier Science & Technology Books, 2023.

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Majid, Sabhiya, Muneeb U. Rehman i Shafat Ali. Proteomics: A Promising Approach for Cancer Research. Elsevier Science & Technology, 2023.

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37

Infrared Proteomics, Pathology and Guided Surgery: A Practical Approach. Wiley & Sons, Limited, John, 2004.

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38

Suffredini, Anthony F., i 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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Ramoni, Marco, Gil Alterovitz i RoseAnn Benson. Automation in Proteomics and Genomics: An Engineering Case-Based Approach. Wiley & Sons, Limited, John, 2009.

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Ramoni, Marco, Gil Alterovitz i Roseann M. Benson. Automation in Proteomics and Genomics: An Engineering Case-Based Approach. Wiley & Sons, Incorporated, John, 2009.

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Dembowy, Joanna. Functional proteomic approaches for the analysis of a dynamic signaling pathway. 2005.

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Dembowy, Joanna. Functional proteomic approaches for the analysis of a dynamic signaling pathway. 2005.

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(Editor), Gil Alterovitz, i Marco F. Ramoni (Editor), red. Systems Bioinformatics: An Engineering Case-Based Approach. Artech House Publishers, 2007.

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Systems bioinformatics: An engineering case-based approach. Norwood, MA: Artech House, 2007.

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Bioinformatics: A Practical Approach (Chapman & Hall/Crc Mathematical & Computational Biology). Chapman & Hall/CRC, 2007.

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46

Becker, Richard C., i Frederick A. Spencer. Fibrinolytic and Antithrombotic Therapy. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195155648.001.0001.

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Thrombotic disorders of the circulatory system represent the leading cause of morbidity, motality, and health care expenditure in the United States. Fibrinolytic and Antithrombotic Therapy provides a practical, evidence-based approach to the management of thrombotic disorders for all clinicians involved in the care of patients with these disorders. It provides not only vital conceptual information on fibrinolytic and antithrombotic therapy, but also the means to apply it to everyday decision making and patient care. Focusing on managment guidelines and critical pathways, the text stresses practicality and usability. It will be a valuable resource for the wide range of clinicians involved in the care of patients with these disorders, including cardiologists, emergency physicians, primary care physicians, hematologists, neurologists, intensivists, pharmacists, and nurse practitioners. The origins of mammalian blood coagulation can be traced back over 400 million years. Despite its long history, it is only within the past century that this complex and pivotal teleologic system has begun to be understood. Most recently, the intricacies of hemostasis and pahtologic thrombosis have come to light, leading the way toward new, more effective, and safer treatment modalities. The Second Edition of Fibrinolytic and Antithrombotic Therapy, even more concise and clinically relevant than the First, provides vital, evidence-based information on management of patients with arterial and venous thrombotic disorders. Since the First Edition, the text has been expanded to cover the evolving topics of atherothrombosis, thrombocardiology, hematologic/thrombophilic conditions, and vascular medicine. It includes up-to-date guidelines for antithrombotic and fibrinolytic therapy, and offers concise summaries of current "standards of care." Chapters are dedicated to discussions of patient-specific therapeutics and to the importance of genomics, proteomics, and metabolomics in defining genotype-phenotype relationships, while throughout the book coagulation, inflammation, and vascular medicine are newly examined as elements in an intricatley-linked triad of biochemical and cellular based phenomenology.
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