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1

Genome clustering: From linguistic models to classification of genetic texts. Berlin: Springer, 2010.

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2

Y, Galperin Michael, and Koonin Eugene V, eds. Frontiers in computational genomics. Norfolk, U.K: Caister, 2003.

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3

L, Smith Cassandra, and Human Genome Project, eds. Genomics: The science and technology behind the Human Genome Project. New York: Wiley, 1999.

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4

Bioinformatics: Genomics and post-genomics. Chichester, England: John Wiley & Sons, 2006.

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5

P, Jauhar Prem, ed. Methods of genome analysis in plants. Boca Raton: CRC Press, 1996.

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6

Per, Sunnerhagen, and Piškur Jure, eds. Comparative genomics: Using fungi as models. Berlin: Springer, 2006.

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7

de, Bruijn F. J., Lupski James R. 1957-, and Weinstock George M. 1949-, eds. Bacterial genomes: Physical structure and analysis. New York: Kluwer Academic, 1999.

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8

de, Bruijn F. J., Lupski James R. 1957-, and Weinstock George M. 1949-, eds. Bacterial genomes: Physical structure and analysis. New York: Chapman & Hall, 1998.

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9

Bickel, David R. Genomics Data Analysis. Boca Raton, FL : CRC Press, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429299308.

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10

India) National Seminar on "Genome Analysis Perspective in the Post-Genomic Era and its Relevance to Society" (2007 Hyderabad. Genome analysis perspective in the post-genomic era and its relevance to society. Hyderabad: School of Human Genome Research and Genetic Disorders and School of Biotechnology, Mahatma Gandhi National Institute of Research and Social Action, 2007.

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11

Nicholas Housby, J., ed. Mass Spectrometry and Genomic Analysis. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/0-306-47595-2.

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12

Nicholas, Housby J., ed. Mass spectrometry and genomic analysis. Dordrecht: Kluwer Academic Publishers, 2001.

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13

D, Protopapas Alex, ed. Genomics. Upper Saddle River, NJ: Prentice-Hall, 2005.

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14

Ogundijo, Oyetunji Enoch. Bayesian Inference for Genomic Data Analysis. [New York, N.Y.?]: [publisher not identified], 2019.

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15

W, Birren Bruce, and Lai, Eric Hon Cheong, 1957-, eds. Nonmammalian genomic analysis: A practical guide. San Diego: Academic Press, 1996.

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16

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

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17

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

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18

Novak, Jakub. Analysis of genomic structure of CHX-10. Ottawa: National Library of Canada, 1993.

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19

Van Eyk, Jennifer E., 1959- and Dunn Michael J. 1936-, eds. Proteomic and genomic analysis of cardiovascular disease. Weinheim: Wiley-VCH, 2003.

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20

name, No. Proteomic and genomic analysis of cardiovascular disease. Weinheim: Wiley-VCH, 2003.

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21

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

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22

H, Bergman Nicholas, ed. Comparative genomics. Totowa, NJ: Humana Press, 2007.

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23

Kim, Ju Han. Genome Data Analysis. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1942-6.

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24

1948-, Gresshoff Peter M., ed. Plant genome analysis. Boca Raton, Fla: CRC Press, 1994.

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25

Gondro, Cedric. Primer to Analysis of Genomic Data Using R. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14475-7.

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26

Chen, Siying. Integration of Functional Genomic Data in Genetic Analysis. [New York, N.Y.?]: [publisher not identified], 2021.

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27

Inc, ebrary, ed. Advances in genomic sequence analysis and pattern discovery. Hackensack, N.J: World Scientific, 2011.

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28

Twyman, Richard M., and Sandy Primrose. Principles of Genome Analysis and Genomics. 3rd ed. Blackwell Publishing Limited, 2002.

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29

Twyman, Richard, and Sandy B. Primrose. Principles of Genome Analysis and Genomics. Wiley & Sons, Incorporated, John, 2009.

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30

Wang, Xinkun. Next-Generation Sequencing Data Analysis. Taylor & Francis Group, 2016.

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31

Deonier, Richard C. Computational Genome Analysis. Gardners Books, 2010.

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32

(Editor), Sun Kim, Haixu Tang (Editor), and Elaine R. Mardis (Editor), eds. Genome Sequencing Technology and Algorithms. Artech House Publishers, 2007.

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33

Meyers, Robert A. Genomics and Genetics: From Molecular Details to Analysis and Techniques. Wiley-VCH, 2007.

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34

Bolshoy, Alexander, Zeev Volkovich, Valery Kirzhner, and Zeev Barzily. Genome Clustering: From Linguistic Models to Classification of Genetic Texts. Springer, 2012.

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35

Bolshoy, Alexander, Zeev Volkovich, and Valery Kirzhner. Genome Clustering: From Linguistic Models to Classification of Genetic Texts. Springer, 2010.

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36

(Editor), Michael Y. Galperin, and Eugene V. Koonin (Editor), eds. Frontiers in Computational Genomics (Functional Genomics Series). Caister Academic Press, 2003.

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37

Galperin, Michael Y. Frontiers in Computational Genomics. Caister Academic Press, 2003.

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38

Nonmammalian Genomic Analysis. Elsevier, 1996. http://dx.doi.org/10.1016/b978-0-12-101285-4.x5000-0.

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39

Mark, D. Ph D. Adams. Comparative Genomics: A Guide To The Analysis Of Eukaryotic Genomes. Humana Pr, 2006.

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40

Cutter, Asher D. A Primer of Molecular Population Genetics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198838944.001.0001.

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The study of molecular population genetics seeks to understand the micro-evolutionary principles underlying DNA sequence variation and change. It addresses such questions as: Why do individuals differ as much as they do in their DNA sequences? What are the genomic signatures of adaptations? How often does natural selection dictate changes to DNA and accumulate as differences between species? How does the ebb and flow in the abundance of individuals over time get marked onto chromosomes to record genetic history? The concepts used to answer such questions also apply to analysis of personal genomics, genome-wide association studies, phylogenetics, landscape and conservation genetics, forensics, molecular anthropology, and selection scans. This Primer of Molecular Population Genetics introduces the bare essentials of the theory and practice of evolutionary analysis through the lens of DNA sequence change in populations. Intended as an introductory text for upper-level undergraduates and junior graduate students, this Primer also provides an accessible entryway for scientists from other areas of biology to appreciate the ideas and practice of molecular population genetics. With the revolutionary advances in genomic data acquisition, understanding molecular population genetics is now a fundamental requirement for today’s life scientists.
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41

Dardel, Frédéric, and François Képès. Bioinformatics: Genomics and Post-Genomics. Wiley, 2006.

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42

Weinstock, G. M., F. J. de Bruijn, and James R. Lupski. Bacterial Genomes: Physical Structure and Analysis. Springer London, Limited, 2012.

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43

Bickel, David R. Genomics Data Analysis. Taylor & Francis Group, 2019.

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44

Housby, J. N. Mass Spectrometry and Genomic Analysis. Springer London, Limited, 2006.

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45

Housby, J. N. Mass Spectrometry and Genomic Analysis. Springer Netherlands, 2013.

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46

Shu, G. Statistical Analysis of Genomic Data. John Wiley and Sons Ltd, 2005.

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47

Housby, J. N. Mass Spectrometry and Genomic Analysis. Springer, 2014.

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48

(Editor), Bruce Ed Birren, ed. Mapping Genomes: A Laboratory Manual (Genome Analysis Laboratory Manual Series). COLD SPRING HARBOR LABORATORY PRESS, 1998.

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49

Hawley, R. Scott. Advanced Genetic Analysis. Wiley & Sons, Incorporated, John, 2022.

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50

Wall, David, and Catherine Vacher. Genomics in the AWS Cloud: Performing Genome Analysis Using Amazon Web Services. Wiley & Sons, Incorporated, John, 2022.

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