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Published: 11 March 2023

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1

Fincham, J. R. S. Genetic analysis: Principles, scope, and abjectives. Oxford: Blackwell Scientific Publications, 1994.

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2

F, Ochs Michael, ed. Gene function analysis. Totowa, N.J: Humana, 2007.

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3

Ochs, Michael F. Gene function analysis. New York: Humana Press, 2014.

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4

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

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5

Genetic variation: Methods and protocols. New York, N.Y: Humana Press, 2010.

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6

K, Moretti Martina, and Rizzo Lorenzo J, eds. Oligonucleotide array sequence analysis. New York: Nova Science Publishers, 2008.

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7

Shartava, Tsisana. DNA research, genetics, and cell biology. Hauppauge, N.Y: Nova Science Publishers, 2011.

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8

J, Miller Wolfgang, and Capy Pierre, eds. Mobile genetic elements: Protocols and genomic applications. Totowa, N.J: Humana Press, 2004.

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9

An introduction to risk calculation in genetic counselling. Oxford: OUP, 1991.

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10

D, Baxevanis Andreas, and Ouellette B. F. Francis, eds. Bioinformatics: A practical guide to the analysis of genes and proteins. 3rd ed. Hoboken, N.J: Wiley, 2005.

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11

Heinz, Hecker Karl, ed. Genetic variance detection: Technologies for pharmacogenomics. [Eagleville, Pa.]: DNA Press, 2005.

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12

Yap, Tieng K. High Performance Computational Methods for Biological Sequence Analysis. Boston, MA: Springer US, 1996.

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13

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

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14

Coalescent theory: An introduction. Greenwood Village, Colo: Roberts & Company Publishers, 2008.

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15

Wakeley, John. Coalescent theory: An introduction. Greenwood Village, Colo: Roberts & Co. Publishers, 2009.

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16

Wakeley, John. Coalescent theory: An introduction. Greenwood Village, Colo: Roberts & Co. Publishers, 2009.

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17

Jan, Kieleczawa, ed. DNA sequencing III: Dealing with difficult templates. Sudbury, Mass: Jones and Bartlett Publishers, 2009.

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18

Yves, Christen, and SpringerLink (Online service), eds. Retrotransposition, Diversity and the Brain. Berlin, Heidelberg: Springer-Verlag, 2008.

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19

Arseni, Markoff, ed. Analytical tools for DNA, genes and genomes: Nuts & bolts. Eagleville, PA: DNA Press, 2005.

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20

Foundations of comparative genomics. Boston, MA: Elsevier Academic Press, 2006.

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21

1960-, Rodrigo Allen G., and Learn Gerald H. 1948-, eds. Computational and evolutionary analysis of HIV molecular sequences. Boston, MA: Kluwer Academic Publishers, 2001.

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22

1963-, Allison David B., ed. DNA microarrays and related genomics techniques: Designs, analysis, and interpretation of experiments. Boca Raton, Fla: Chapman and Hall/CRC, 2006.

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23

1963-, Allison David B., ed. DNA microarrays and related genomics techniques: Designs, analysis, and interpretation of experiments. Boca Raton, Fla: Taylor and Francis, 2005.

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24

Gerald, Myers, ed. Human papillomaviruses, 1997: A compilation and analysis of nucleic acid and amino acid sequences. Los Alamos, N.M: Theoretical Biology and Biophysics Group T-10, Los Alamos National Laboratory, 1997.

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25

Sheng wu ji suan: Sheng wu xu lie de fen xi fang fa yu ying yong. Beijing: Ke xue chu ban she, 2010.

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26

Nannan, Gao, ed. Lecture notes on computational mutation. New York: Nova Science Publishers, 2008.

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27

1960-, Rodrigo Allen G., and Learn Gerald H. 1948-, eds. Computational and evolutionary analysis of HIV molecular sequences. Boston, MA: Kluwer Academic Publishers, 2001.

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28

1968-, Salemi Marco, Vandamme Anne-Mieke 1960-, and Lemey Philippe, eds. The phylogenetic handbook: A practical approach to phylogenetic analysis and hypothesis testing. 2nd ed. Cambridge, UK: Cambridge University Press, 2009.

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29

1968-, Salemi Marco, Vandamme Anne-Mieke 1960-, and Lemey Philippe, eds. The phylogenetic handbook: A practical approach to phylogenetic analysis and hypothesis testing. 2nd ed. Cambridge, UK: Cambridge University Press, 2009.

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30

Sorin, Istrail, Waterman Michael S, and Clark Andrew G. 1954-, eds. Computational methods for SNPs and Haplotype inference: DIMACS/RECOMB satellite workshop, Piscataway, NJ, USA, November 21-22, 2002 : revised papers. Berlin: Springer-Verlag, 2004.

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31

Gogol-Döring, Andreas. Biological sequence analysis using the SeqAn C++ library. Boca Raton: Chapman & Hall/CRC Taylor & Francis, 2009.

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32

Knut, Reinert, ed. Biological sequence analysis using the SeqAn C++ library. Boca Raton: Chapman & Hall/CRC Taylor & Francis, 2009.

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33

D, Baxevanis Andreas, ed. Current protocols in bioinformatics. New York: Wiley, 2003.

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34

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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35

Koonin, Eugene V. Sequence - evolution - function: Computational approaches in comparative genomics. Boston: Kluwer Academic, 2003.

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36

Koonin, Eugene V. Sequence - evolution - function: Computational approaches in comparative genomics. Boston: Kluwer Academic, 2003.

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37

Y, Galperin Michael, ed. Sequence - evolution - function: Computational approaches in comparative genomics. Boston: Kluwer Academic, 2003.

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38

William, Lowry, Morrey John, and Taped Technologies Production, eds. DNA sequencing [videorecording]. Logan: Taped Technologies, 1990.

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39

Nowakowska, Justyna. Analysis of microsatellite sequences in Scots pine: [proceedings of Workshop WP 5.4, forest tree genetics : Sekocin, Poland, 24-27 August 2004]. Edited by Instytut Badawczy Leśnictwa (Warsaw, Poland). Warsaw: Forest Research Institute, 2005.

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40

Gribskov, Michael, and John Devereux, eds. Sequence Analysis Primer. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195098747.001.0001.

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Computerized sequence analysis is an integral part of biotechnological research, yet many biologists have received no formal training in this important technology. Sequence Analysis Primer offers the beginner the necessary background to enter this vital field and helps more seasoned researchers to fine-tune their approach. It covers basic data manipulation such as homology searches, stem-loop identification, and protein secondary structure prediction, and is compatible with most sequence analysis programs. A detailed example giving steps for characterizing a new gene sequence provides users with hands-on experience when combined with their current software. The book will be invaluable to researchers and students in molecular biology, genetics, biochemistry, microbiology, and biotechnology.

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41

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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42

Miller, Wolfgang J., and Pierre Capy. Mobile Genetic Elements. Humana Press, 2010.

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43

Ochs, Michael F. Gene Function Analysis. Humana Press, 2016.

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44

Ochs, Michael F. Gene Function Analysis. Humana Press, 2010.

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45

Bergman, Nicholas H. Comparative Genomics: Volume 1 (Methods in Molecular Biology). Humana Press, 2007.

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46

Bergman, Nicholas H. Comparative Genomics: Volume 1. Humana Press, 2011.

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47

Comparative Genomics: Volume 2 (Methods in Molecular Biology). Humana Press, 2007.

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48

Mobile Genetic Elements Protocols And Genomic Applications. Humana Press, 2012.

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49

Mount, David W. Bioinformatics: Sequence and Genome Analysis. 2nd ed. Cold Spring Harbor Laboratory Press, 2004.

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50

Bioinformatics: Sequence and Genome Analysis. 2nd ed. Cold Spring Harbor Laboratory Press, 2004.

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