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Books on the topic 'Data sequence processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

1960-, Morishita Shinichi, ed. Large-scale genome sequence processing. London: Imperial College Press, 2006.

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2

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

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3

Sequence analysis in molecular biology: Treasure trove or trivial pursuit. San Diego: Academic Press, 1987.

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4

Kumar, Pradeep. Pattern discovery using sequence data mining: Applications and studies. Hershey, PA: Information Science Reference, 2012.

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5

Darryl, León, ed. Sequence analysis in a nutshell: A guide to tools and databases. Sebastopol, CA: O'Reilly, 2003.

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6

Interface between Computation Science and Nucleic Acid Sequencing Workshop ((1988 Santa Fe, N.M.). Computers and DNA: The proceedings of the Interface between Computation Science and Nucleic Acid Sequencing Workshop, held December 12 to 16, 1988 in Santa Fe, New Mexico. Edited by Bell George I and Marr Thomas G. Redwood City, Calif: Addison-Wesley Pub. Co, 1989.

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7

Practical bioinformatics. New York: Garland Science, 2013.

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8

Interface between Computation Science and Nucleic Acid Sequencing Workshop (1988 Santa Fe, N.M.). Computers and DNA: The proceedings of the Interface between Computation Science and Nucleic Acid Sequencing Workshop, held December 12 to 16, 1988 in Santa Fe, New Mexico. Redwood City, Calif: Addison-Wesley Pub. Co., 1990.

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9

Grigorev, Anatoliy. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/22119.

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In this manual some methods and algorithms of data processing, the sequence of the solution of problems of processing and the analysis of data for creation of behavior model of an object taking into account all a component of his mathematical model are considered. Types of technological methods of use of software and hardware for the solution of tasks in this area are described. Algorithms of distributions, regressions of temporary ranks, their transformation for the purpose of receiving mathematical models and the forecast of behavior of information and economic systems (objects) are considered. Conforms to requirements of the Federal state educational standard of the higher education of the last generation. For students of economic specialties, experts, graduate students.

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10

Gromiha, M. Michael. Protein bioinformatics: From sequence to function. Amsterdam: Academic Press/Elsevier, 2010.

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11

Rodríguez-Ezpeleta, Naiara, Michael Hackenberg, and Ana M. Aransay. Bioinformatics for high throughput sequencing. New York, NY: Springer, 2012.

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12

Vincent, Patrick J. Effects of fading and data modulation on noncoherent m-sequence acquisition schemes. Monterey, Calif: Naval Postgraduate School, 1992.

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13

Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects). The second edition is supplemented by materials that are in demand by researchers in the part of the correct use of clustering algorithms. Are elements of the classification algorithms to identify their capabilities, strengths and weaknesses. Are the procedures of justification and verify the adequacy of the results of the cluster analysis, conducted a comparison and evaluation of different clustering techniques, given information about visualization of multidimensional data and examples of practical application of clustering algorithms. Meets the requirements of Federal state educational standards of higher education of the last generation. For students of economic specialties, specialists, and graduate students.

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14

DNA he dan bai zhi xu lie shu ju fen xi gong ju: Tools for analysis of DNA and protein sequence data. 2nd ed. Beijing: Ke xue chu ban she, 2010.

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15

Taylor, William R. Patterns in Protein Sequence and Structure. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

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16

Mewes, Hans-Werner. Schnelle Identifizierung von Peptiden durch sensitive Bestimmung ihrer Aminosäurezusammensetzung und Zugriff auf Sequenzdatenbanken. Gauting bei München: Intemann, 1989.

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17

I, Bell George, and Marr Thomas G, eds. Computers and DNA: The proceedings of the Interface Between Computation Science and Nucleic Acid Sequencing Workshop, held Dec. 12 to 16, 1988 in Santa Fe, New Mexico. Redwood City, Calif: Addison-Wesley, 1990.

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18

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

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19

Ulʹi͡anov, A. V. Paket programm dli͡a opredelenii͡a i analiza pervichnoĭ struktury DNK. Pushchino: Nauch. t͡sentr biologicheskikh issledovaniĭ AN SSSR v Pushchine, 1985.

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20

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

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21

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

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22

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

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23

Yang, Po-sŏk. Twaeji yujŏnch'e taeryang yŏmgi sŏyŏl punsŏk mit yuyong yujŏnja palgul =: High-throughput DNA sequence analysis and identification of trait genes in pigs. [Kyŏnggi-do Suwŏn-si]: Nongch'on Chinhŭngch'ŏng, 2009.

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24

Mark, Yandell, and Bedell Joseph, eds. BLAST. Sebastopol, CA: O'Reilly & Associates, 2003.

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25

Kühnau, Reiner. Ein Algorithmus für quasikonforme Spiegelung an einem Polygonzug bei möglichst kleiner Dilatation. Giessen: Selbstverlag des Mathematischen Instituts, 1987.

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26

Wittmann-Liebold, Brigitte. Methods in Protein Sequence Analysis: Proceedings of the 7th International Conference, Berlin, July 3-8, 1988. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.

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27

Gene network inference: Verification of methods for systems genetics data. Heidelberg: Springer, 2013.

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28

1947-, Sillince Maria, ed. Molecular databases for protein sequences and structure studies: An introduction. Berlin: Springer-Verlag, 1991.

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29

Science, technology, and medicine in modern history: From proteins to DNA, 1945-2000. New York: Palgrave Macmillan, 2012.

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30

R, Swindell Simon, ed. Sequence data analysis guidebook. Totowa, N.J: Humana Press, 1997.

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31

Kasahara, Masahiro, and Shinichi Morishita. Large-scale Genome Sequence Processing. World Scientific Publishing Company, 2006.

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32

M, Griffin Annette, and Griffin Hugh G, eds. Computer analysis of sequence data. Totowa, N.J: Humana Press, 1994.

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33

Selected Combinatorial Aspects of Biological Sequence Analysis. Wydawn. Politechniki Poznanskiej, 2005.

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34

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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35

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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36

Holloway, James Lee. Algorithms for string matching with applications in molecular biology. 1992.

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37

Patterns in protein sequence and structure. Berlin: Springer-Verlag, 1992.

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38

Mount, David W. Bioinformatics: Sequence and Genome Analysis. Cold Spring Harbor Laboratory Press, 2001.

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39

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

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40

Mount, David W. Bioinformatics: Sequence and Genome Analysis. Cold Spring Harbor Laboratory Press, 2001.

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41

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

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42

Bell, George I., and N. M.) Interface between Computation Science and Nucleic Acid Sequencing Workshop (1988 : Santa Fe. Computers and DNA: The Proceedings of the Interface Between Computation Science and Nucleic Acid Sequencing Workshop, Held December 12 to 16, 1988 in Santa ... in the Sciences of Complexity Proceedings). Perseus Books (Sd), 1989.

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43

Lesk, Arthur M. Database Annotation in Molecular Biology: Principles and Practice. Wiley & Sons, Incorporated, John, 2005.

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44

Lesk, Arthur M. Database Annotation in Molecular Biology: Principles and Practice. Wiley, 2005.

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45

M, Lesk Arthur, ed. Database annotation in molecular biology. Chichester, West Sussex: John Wiley, 2005.

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46

Lesk, Arthur M. Database Annotation in Molecular Biology: Principles and Practice. Wiley & Sons, Incorporated, John, 2008.

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47

Bioinformatics: Volume I: Data, Sequence Analysis and Evolution (Methods in Molecular Biology). Humana Press, 2008.

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48

(Editor), M. J. Bishop, and C. J. Rawlings (Editor), eds. Nucleic Acid and Protein Sequence Analysis: A Practical Approach (The Practical Approach Ser.). Oxford University Press, USA, 1986.

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49

J, Bishop M., and Rawlings Christopher J. 1954-, eds. Nucleic acid and protein sequence analysis: A practical approach. Oxford: IRL Press, 1987.

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50

J, Bishop M., and Rawlings Christopher J. 1954-, eds. Nucleic acid and protein sequence analysis: A practical approach. Oxford: IRL Press, 1987.

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