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1

Frishman, Dmitrij. Modern genome annotation: The BioSapiens Network. New York: Springer, 2009.

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2

Modern genome annotation: The BioSapiens Network. New York: Springer, 2009.

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3

R, Pennington S., and Dunn M. J, eds. Proteomics: From protein sequence to function. Oxford: BIOS, 2001.

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4

1927-, Jollès Pierre, and Jörnvall Hans, eds. Proteomics in functional genomics: Protein structure analysis. Basel: Birkhäuser Verlag, 2000.

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5

Introduction to proteomics: Tools for the new biology. Totowa, NJ: Humana Press, 2002.

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6

Ryoiti, Kiyama, Shimizu Mitsuhiro, Hirose Susumu, and Transworld Research Network (Trivandrum, India), eds. DNA structure, chromatin and gene expression. Trivandrum, Kerala, India: Transworld Research Network, 2006.

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7

H, Lundstrom Kenneth, ed. Structural genomics on membrane proteins. Boca Raton: Taylor & Francis, 2006.

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8

Structural Genomics. Elsevier, 2009.

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9

Joachimiak, Andrzej. Structural Genomics, Part B. Elsevier Science & Technology Books, 2009.

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10

Structural Genomics, Part B. Elsevier Science & Technology Books, 2009.

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11

Frishman, Dmitrij, and Alfonso Valencia. Modern Genome Annotation: The Biosapiens Network. Springer, 2011.

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12

(Editor), S. R. Pennington, and M. J. Dunn (Editor), eds. Proteomics: From Protein Sequence to Function. Springer-Verlag Telos, 2001.

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13

Jolles, P., and Hans Jörnvall. Proteomics in Functional Genomics: Protein Structure Analysis. Birkhäuser Boston, 2012.

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14

(Editor), P. Jolles, and Hans Jörnvall (Editor), eds. Proteomics in Functional Genomics: Protein Structure Analysis (Experientia Supplementum). Birkhauser, 2002.

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15

Tiana, Guido, and Luca Giorgetti. Modeling the 3D Conformation of Genomes. Taylor & Francis Group, 2019.

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16

Tiana, Guido, and Luca Giorgetti. Modeling the 3D Conformation of Genomes. Taylor & Francis Group, 2019.

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17

Tiana, Guido, and Luca Giorgetti. Modeling the 3D Conformation of Genomes. Taylor & Francis Group, 2019.

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18

Tiana, Guido, and Luca Giorgetti. Modeling the 3D Conformation of Genomes. Taylor & Francis Group, 2019.

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19

Modeling the 3D Conformation of Genomes. Taylor & Francis Group, 2019.

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20

Tiana, G. Modeling the 3D Conformation of Genomes. Taylor & Francis Group, 2021.

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21

Liebler, Daniel C. Introduction to Proteomics: Tools for the New Biology. Humana Press, 2002.

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22

Liebler, Daniel C. Introduction to Proteomics: Tools for the New Biology. 2nd ed. Humana Press, 2007.

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23

Liebler, Daniel C. Introduction to Proteomics: Tools for the New Biology. Humana Press, 2001.

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24

Liebler, Daniel C. Introduction to Proteomics: Tools for the New Biology. Tandem Library, 2002.

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25

Liebler, Daniel C. Introduction to Proteomics: Tools for the New Biology. 2nd ed. Humana Press, 2007.

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26

Liebler, Daniel C. Introduction to Proteomics: Tools for the New Biology. Humana Press, 2001.

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27

Maher, Christopher J., and Elaine R. Mardis. Genomic Landscape of Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0004.

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The study of cancer genomics has advanced rapidly during the last decade due to the development of next generation or massively parallel technology for DNA sequencing. The resulting knowledge is transforming the understanding of both inherited (germline) genetic susceptibility and the somatic changes in tumor tissue that drive abnormal growth and progression. The somatic alterations in tumor tissue vary depending on the type of cancer and its characteristic “genomic landscape.” New technologies have increased the speed and lowered the cost of DNA sequencing and have enabled high-volume characterization of RNA, DNA methylation, DNA-protein complexes, DNA conformation, and a host of other factors that, when altered, can contribute to the development and/or progression of the cancer. Technologic advances have greatly expanded research on somatic changes in tumor tissue, revealing both the singularity of individual cancer genomes and the commonality of genetic alterations that drive cancer in different tissues.
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28

Chess, Andrew, and Schahram Akbarian. The Human Brain and its Epigenomes. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0003.

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Conventional psychopharmacology elicits an insufficient therapeutic response in more than one half of patients diagnosed with schizophrenia, bipolar disorder, depression, anxiety, or related disorders. This underscores the need to further explore the neurobiology and molecular pathology of mental disorders in order to develop novel treatment strategies of higher efficacy. One promising avenue of research is epigenetics.Deeper understanding of genome organization and function in normal and diseased human brain will require comprehensive charting of neuronal and glial epigenomes. This includes DNA cytosine and adenine methylation, hundred(s) of residue-specific post-translational histone modifications and histone variants, transcription factor occupancies, and chromosomal conformations and loopings. Epigenome mappings provide an important avenue to assign function to many risk-associated DNA variants and mutations that do not affect protein-coding sequences. Powerful novel single cell technologies offer the opportunity to understand genome function in context of the vastly complex cellular heterogeneity and neuroanatomical diversity of the human brain.
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29

Structural genomics on membrane proteins. Boca Raton, FL: Taylor & Francis/CRC Press, 2006.

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