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Books on the topic 'Nucleotide sequence – Statistical methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Probability models for DNA sequence evolution. Springer, 2002.

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2

Probability models for DNA sequence evolution. 2nd ed. Springer, 2008.

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3

Kasprzak, Marta. Combinatorial models and methods for reading genomic sequences. Wydawn. Politechniki Poznańskiej, 2004.

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4

Hidden Markov models for bioinformatics. Kluwer Academic Publishers, 2001.

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5

Alphey, Luke. DNA sequencing from experimental methods to bioinformatics. Springer, 1997.

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6

Munshi, Anjana. DNA sequencing: Methods and applications. InTech, 2012.

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7

Ophir, Frieder, and Martino Robert L, eds. High performance computational methods for biological sequence analysis. Kluwer Academic Publishers, 1996.

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8

RNA sequence, structure, and function: Computational and bioinformatic methods. Humana Press, 2014.

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9

Ancient DNA typing: Methods, strategies, and applications. Springer, 2003.

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10

RNA and DNA editing: Methods and protocols. Humana, 2011.

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11

Gogol-Döring, Andreas. Biological sequence analysis using the SeqAn C++ library. CRC Press, 2010.

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12

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

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13

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

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14

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. Springer-Verlag, 2004.

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15

Janitz, Michal. Next-generation genome sequencing: Towards personalized medicine. Wiley-VCH, 2008.

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16

library, Wiley online, ed. Medical biostatistics for complex diseases. Wiley-VCH, 2010.

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17

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

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18

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

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19

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

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20

Wako, Hiroshi. Folding/unfolding kinetics of lattice proteins by applying a simple statistical mechanical model for protein folding. Nova Biomedical, 2011.

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21

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

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22

Data analysis tools for DNA microarrays. Chapman & Hall/CRC, 2003.

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23

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

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24

Dongguang, Li, ed. DNA microarray technology and data analysis in cancer research. World Scientific, 2008.

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25

Wako, Hiroshi. Folding/unfolding kinetics of lattice proteins by applying a simple statistical mechanical model for protein folding. Nova Biomedical, 2011.

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26

Wang, Sun-Chong. DNA methylation microarrays: Experimental design and statistical analysis. Edited by Petronis Art. Taylor & Francis, 2008.

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27

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

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28

S, Waterman Michael, ed. Mathematical methods for DNA sequences. CRC Press, 1989.

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29

1938-, Miura Robert M., American Association for the Advancement of Science., and Symposium Some Mathematical Questions in Biology (18th : 1984 : New York, N.Y.), eds. Some mathematical questions in biology: DNA sequence analysis. American Mathematical Society, 1986.

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30

R, Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison, and Sean Eddy. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, 1998.

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31

R, Durbin, Sean R. Eddy, Anders Krogh, and Graeme Mitchison. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, 1999.

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32

Richard, Durbin, ed. Biological sequence analysis: Probabalistic models of proteins and nucleic acids. Cambridge University Press, 1998.

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33

Problems and Solutions in Biological Sequence Analysis. Cambridge University Press, 2006.

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34

1972-, Mayer Günter, ed. Nucleic acid and peptide aptamers: Methods and protocols. Humana, 2009.

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35

G, Gindikin S., ed. Mathematical methods of analysis of biopolymer sequences. American Mathematical Society, 1992.

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36

(Editor), Colin A. Graham, and Alison J. M. Hill (Editor), eds. DNA Sequencing Protocols (Methods in Molecular Biology). 2nd ed. Humana Press, 2001.

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37

R, Swindell Simon, ed. Sequence data analysis guidebook. Humana Press, 1997.

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38

1972-, Mayer Günter, ed. Nucleic acid and peptide aptamers: Methods and protocols. Humana, 2009.

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39

Griffin, Annette M., and Hugh G. Griffin. Computer Analysis of Sequence Data Part II (Methods in Molecular Biology). Humana Press, 1994.

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40

Griffin, Annette M., and Hugh G. Griffin. Computer Analysis of Sequence Data Part 1 (Methods in Molecular Biology). Humana Press, 1994.

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41

(Editor), John N. Abelson, Melvin I. Simon (Editor), and Russell F. Doolittle (Editor), eds. Computer Methods for Macromolecular Sequence Analysis (Methods in Enzymology). Academic Press, 1996.

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42

1941-, Procter Michael, Abell Peter 1939-, and Surrey Conference on Methods and Theory of Sociological Investigation (2nd : 1983 : University of Surrey), eds. Sequence analysis. Gower, 1985.

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43

Walker, John M. Methods in Molecular Biology: New Nucleic Acid Techniques (Biological Methods). Humana Press, 1988.

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44

Sharon, Marsh, ed. Pyrosequencing protocols. Humana Press, 2007.

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45

Marsh, Sharon. Pyrosequencing Protocols. Humana Press, 2006.

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46

A, Glasel Jay, and Deutscher Murray P, eds. Introduction to biophysical methods for protein and nucleic acid research. Academic Press, 1995.

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47

David, Posada, ed. Bioinformatics for DNA sequence analysis. Humana Press, 2009.

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48

David, Posada, ed. Bioinformatics for DNA sequence analysis. Humana Press, 2009.

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49

David, Posada, ed. Bioinformatics for DNA sequence analysis. Humana Press, 2009.

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50

Suhai, Sándor. Theoretical and Computational Methods in Genome Research. Springer, 2012.

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