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1

Cellerino, Alessandro, and Michele Sanguanini. Transcriptome Analysis. Pisa: Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1.

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2

Wang, Yejun, and Ming-an Sun, eds. Transcriptome Data Analysis. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7710-9.

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3

Azad, Rajeev K., ed. Transcriptome Data Analysis. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3886-6.

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4

Calogero, Raffaele A., and Vladimir Benes, eds. Single Cell Transcriptomics. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2756-3.

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5

Passos, Geraldo A., ed. Thymus Transcriptome and Cell Biology. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12040-5.

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6

Bernot, Alain. Genome Transcriptome and Proteome Analysis. New York: John Wiley & Sons, Ltd., 2005.

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7

Shelomi, M., ed. Transcriptomics in entomological research. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789243130.0000.

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8

Wu, Jiaqian, ed. Transcriptomics and Gene Regulation. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7450-5.

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9

Passos, Geraldo A., ed. Transcriptomics in Health and Disease. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87821-4.

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10

Passos, Geraldo A., ed. Transcriptomics in Health and Disease. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11985-4.

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11

Rodriguez-Anaya, Libia Zulema, and Cesar Marcial Escobedo-Bonilla. Transcriptomics from Aquatic Organisms to Humans. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003212416.

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12

Russo, Jose, and Irma H. Russo. Role of the Transcriptome in Breast Cancer Prevention. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-4884-6.

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13

Regunath, Kausik. Landscape of the p53 transcriptome and clinical implications. [New York, N.Y.?]: [publisher not identified], 2020.

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14

Krizay, Daniel Kyle. Transcriptomic and Functional Analysis of Neuronal Activity and Disease. [New York, N.Y.?]: [publisher not identified], 2022.

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15

Scanfeld, Daniel. Exploring the Plasmodium falciparum Transcriptome Using Hypergeometric Analysis of Time Series (HATS). [New York, N.Y.?]: [publisher not identified], 2013.

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16

Lee, Albert Kim. Characterizing Immune Responses to Marburg Virus Infection in Animal Hosts Using Statistical Transcriptomic Analysis. [New York, N.Y.?]: [publisher not identified], 2018.

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17

Einson, Jonah. Common and rare genetic effects on the transcriptome and their contribution to human traits. [New York, N.Y.?]: [publisher not identified], 2022.

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18

Transcriptome Profiling. Elsevier, 2023. http://dx.doi.org/10.1016/c2021-0-01254-2.

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19

Brain Transcriptome. Elsevier, 2014. http://dx.doi.org/10.1016/c2013-0-12892-9.

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20

Blumenberg, Miroslav, ed. Transcriptome Analysis. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.77860.

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21

Hitzemann, Robert, and Shannon Mcweeney. Brain Transcriptome. Elsevier Science & Technology Books, 2014.

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22

Transcriptome Analysis. IntechOpen, 2019.

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23

Brain Transcriptome. Elsevier Science & Technology Books, 2014.

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24

Lovatt, Ditte, and Maiken Nedergaard. The Astrocyte Transcriptome. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199794591.003.0028.

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This is a digitally enhanced text. Readers can also see the coverage of this topic area in the second edition of Neuroglia. The second edition of Neuroglia was first published digitally in Oxford Scholarship Online and the bibliographic details provided, if cited, will direct people to that version of the text. Readers can also see the coverage of this topic area in the ...
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25

Decoding the Transcriptome. World Scientific Publishing Co Pte Ltd, 2010.

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26

Kumar, Dhavendra. Applied Transcriptomics. Elsevier Science & Technology, 2022.

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27

Westerfield, Monte, Detrich III H. William, and Leonard Zon. Zebrafish : Genetics, Genomics, and Transcriptomics: Genetics, Genomics, and Transcriptomics. Elsevier Science & Technology Books, 2016.

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28

Genome transcriptome and proteome analysis. Chichester: Wiley, 2004.

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29

Bernot, Alain. Genome Transcriptome and Proteome Analysis. Wiley & Sons, Incorporated, John, 2007.

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30

Passos, Geraldo A. Thymus Transcriptome and Cell Biology. Springer, 2020.

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31

Passos, Geraldo A. Thymus Transcriptome and Cell Biology. Springer, 2019.

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32

Ali, M. Ajmal, and Joongku Lee. Transcriptome Profiling: Progress and Prospects. Elsevier Science & Technology, 2022.

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33

Bernot, Alain. Genome Transcriptome and Proteome Analysis. Wiley & Sons, Incorporated, John, 2005.

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34

Ali, Mohammad Ajmal, and Joongku Lee. Transcriptome Profiling: Progress and Prospects. Elsevier Science & Technology Books, 2023.

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35

Munro, Carol A., and Duncan Wilson. Fungal genomics and transcriptomics. Edited by Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum, and 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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36

Naiyer, Sarah, and Khalid Hussain Bhat, eds. Transcriptomics and their Importance. Nova Science Publishers, 2022. http://dx.doi.org/10.52305/izbb7081.

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37

Naiyer, Sarah. Transcriptomics and Their Importance. Nova Science Publishers, Incorporated, 2022.

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38

Transcriptomics: Expression Pattern Analysis. VDM Verlag, 2009.

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39

Wu, Jiaqian. Transcriptomics and Gene Regulation. Springer, 2015.

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40

Naiyer, Sarah. Transcriptomics and Their Importance. Nova Science Publishers, Incorporated, 2022.

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41

Shelomi, Matan. Transcriptomics in Entomological Research. CABI, 2020.

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42

Wu, Jiaqian. Transcriptomics and Gene Regulation. Springer, 2015.

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43

Wu, Jiaqian. Transcriptomics and Gene Regulation. Springer, 2016.

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44

Transcriptome Data Analysis: Methods and Protocols. Humana, 2018.

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45

Wang, Yejun, and Ming-an Sun. Transcriptome Data Analysis: Methods and Protocols. Springer New York, 2019.

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46

Mishra, Sagarika. Transcriptome Analysis and Why It Matters. Nova Science Publishers, Incorporated, 2023.

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47

Passos, Geraldo A. Transcriptomics in Health and Disease. Springer International Publishing AG, 2016.

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48

Passos, Geraldo A. Transcriptomics in Health and Disease. Springer, 2015.

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49

Westerfield, Monte, Detrich III H. William, and Leonard Zon. Zebrafish: Genetics, Genomics, and Transcriptomics. Elsevier Science & Technology Books, 2016.

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50

Passos, Geraldo A. Transcriptomics in Health and Disease. Springer, 2015.

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