Books on the topic 'Biology Research Computer programs'

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1

McCloskey, Moya. QUERCUS: Statistics for bioscientists : a student guidebook. London: Arnold, 1997.

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2

National Research Council (U.S.). Committee on Space Biology and Medicine. Assessment of programs in space biology and medicine. Washington, DC: National Academy Press, 1991.

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3

National Institutes of Health (U.S.). Review of the National Institutes of Health biomedical research training programs. Bethesda, Maryland: [National Institutes of Health, National Heart, Lung, and Blood Institute], 1989.

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4

United States. Department of Energy. Health and Environmental Research Advisory Committee. The application of genome and structural biology programs. Washington, D.C.]: The Department, 1995.

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5

Abramson, J. H. Computer programs for epidemiologists: PEPI version 4.0. Salt Lake City: Sagebrush Press, 2001.

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6

Rawlings, C. J. Software directory for molecular biologists. (Basingstoke): Macmillan, 1986.

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7

Statistics for social research. Basingstoke: Macmillan, 1997.

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8

Luqi. Research directions in software analysis, synthesis and certification. Monterey, Calif: Naval Postgraduate School, 1992.

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9

Valkó, Péter. Advanced scientific computing in BASIC with applications in chemistry, biology and pharmacology. Amsterdam: Elsevier, 1989.

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10

1949-, Vajda Sándor, ed. Advanced scientific computing in BASIC: With applications in chemistry, biology, and pharmacology. Amsterdam: Elsevier, 1989.

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11

Zahn, John J. FORTRAN programs for reliability analysis. Madison, WI (One Gifford Pinchot Dr., Madison 53705-2398): U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1992.

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12

Automated reasoning: 33 basic research problems. Englewood Cliffs, N.J: Prentice-Hall, 1988.

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13

Nichols, Elizabeth L. Genealogy in the computer age: Understanding family research. Salt Lake City, USA: Family History Educators, 1994.

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14

Dorzh, Darambazaryn. Voprosy sozdanii͡a︡ informat͡s︡ionnoĭ sistemy menedzhmenta geologicheskikh issledovaniĭ v Mongolii: Teorii͡a︡ i praktika "sot͡s︡io-ėkologo-tekhnicheskogo" sistemnogo podkhoda (SĖTS). Ulaanbaatar: Mongolʹskiĭ Tekhnicheskiĭ Universitet, Institut Kompi͡u︡ternoĭ Tekhniki I Menedzhmenta, 1998.

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15

Lawrence, Hunter, ed. Artificial intelligence and molecular biology. Menlo Park, Calif: AAAI Press, 1993.

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16

Schüler, Nico, ed. Computer-Applications in Music Research: Concepts, Methods, Results (Methodology of Music Research, Bd. 1). Frankfurt am Main / New York: Peter Lang Publishing, 2002.

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17

Engler, Kevin. Animal-related computer simulation programs for use in education and research. Beltsville, Md: National Agricultural Library, 1989.

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18

Engler, Kevin P. Animal-related computer simulation programs for use in education and research. Beltsville, Md: National Agricultural Library, 1989.

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19

National Agricultural Library (U.S.) and Animal Welfare Information Center (U.S.), eds. Animal-related computer simulation programs for use in education and research. Beltsville, Md: National Agricultural Library, 1989.

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20

Engler, Kevin. Animal-related computer simulation programs for use in education and research. Beltsville, Md: National Agricultural Library, 1989.

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21

Engler, Kevin. Animal-related computer simulation programs for use in education and research. Beltsville, Md: National Agricultural Library, 1989.

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22

Engler, Kevin. Animal-related computer simulation programs for use in education and research. Beltsville, Md: National Agricultural Library, 1989.

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23

Engler, Kevin. Animal-related computer simulation programs for use in education and research. Beltsville, Md: National Agricultural Library, 1989.

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24

Computational cancer biology: An interaction network approach. London: Springer, 2012.

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25

Eileen, Forrester, and International Process Research Consortium, eds. A process research framework: The International Process Research Consortium. Pittsburgh, PA: Carnegie Mellon University, Software Engineering Institute, 2006.

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26

Schaffer, John W. Knowledge-based programming for music research. Madison, Wis: A-R Editions, 1997.

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27

A, Morgan George. Easy use and interpretation of SPSS for Windows: Answering research questions with statistics. Mahwah, N.J: Lawrence Erlbaum Associates, 1998.

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28

Mathur, Atul B. Wave rotor research: A computer code for preliminary design of wave programs. Monterey, California: Naval Postgraduate School, 1985.

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29

US GOVERNMENT. An Act to Authorize Funding for Computer and Network Security Research and Development and Research Fellowship Programs, and for Other Purposes. [Washington, D.C: U.S. G.P.O., 2002.

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30

Chu, Eleanor. Sparse matrix methods research using the CSM Testbed software system. [Washington, DC]: National Aeronautics and Space Adminstration, Office of Management, Scientific and Technical Information Division, 1989.

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31

Roy, Michael K. Le. Research methods in political science: An introduction using MicroCase. 7th ed. [Boston, MA: Thomson Higher Education, 2009.

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32

K, Le Roy Michael, ed. Research methods in political science: An introduction using MicroCase. 5th ed. [Belmont, CA]: Thomson/Wadsworth, 2003.

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33

Argyrous, George. Statistics for social research. South Melbourne: MacMillan Education Australia, 1996.

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34

1957-, Clark Andy, and Toribio Josefa, eds. Cognitive architectures in artificial intelligence: The evolution of research programs. New York: Garland Pub., 1998.

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35

Barker, Daniel. LVB 1.0: Reconstructing evolution with parsimony and simulated annealing. Edinburgh: D. Barker, 1997.

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36

Antao, Tiago. Bioinformatics with Python Cookbook: Learn How to Use Modern Python Bioinformatics Libraries and Applications to Do Cutting-Edge Research in Computational Biology. Packt Publishing, Limited, 2015.

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37

Antao, Tiago. Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition. Packt Publishing, 2018.

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38

Clarke, Frank H. Calculator Programming for Chemistry and the Life Sciences. Elsevier Science & Technology Books, 2013.

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39

Quercus: Statistics for Bioscientists. A Hodder Arnold Publication, 2001.

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40

Delisle, Richard G. The Darwinian Tradition in Context: Research Programs in Evolutionary Biology. Springer, 2018.

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41

Delisle, Richard G. The Darwinian Tradition in Context: Research Programs in Evolutionary Biology. Springer, 2019.

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42

Antony, Louise, and Georges Rey. Philosophy and Psychology. Edited by Herman Cappelen, Tamar Szabó Gendler, and John Hawthorne. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199668779.013.36.

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Philosophy and psychology have always been inseparable, particularly with regard to issues of methodology. The chapter begins with a brief history of the a priori and introspectivist traditions of both, and of the various forms of behaviorism that were a reaction to them. It then turns to the “computational” and “functionalist” approaches to the mind that grew out of the development of the computer and especially the linguistic work of Noam Chomsky. These blossomed into the research program of “cognitive science” that combines work in linguistics, psychology, neuroscience, biology, and computer science to empirically address questions about the nature and architecture of the mind, and issues in semantics, epistemology, and moral psychology. the chapter concludes by briefly discussing two important cases concerning the nature of consciousness, its supposed “unity,” and various forms of self-blindness, which raise surprising empirical questions about our introspective access to our mental states.
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43

Bioinformatics Research and Applications Lecture Notes in Computer Science Lecture Notes in Bioinfo. Springer, 2012.

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44

National Institute of Dental Research (U.S.), ed. Senior investigator research opportunities: Research programs for senior scientists and professors on sabbatical. Bethesda, Md: National Institutes of Health, National Institute of Dental Research, 1998.

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45

Shonkwiler, Ronald W., and James Herod. Mathematical Biology: An Introduction with Maple and Matlab. Springer, 2009.

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46

Shonkwiler, Ronald W., and James Herod. Mathematical Biology: An Introduction with Maple and Matlab. Springer, 2014.

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47

United States. National Aeronautics and Space Administration., ed. Research into software executives for space operations support: Final report. San Antonio, Tex: Southwest Research Institute, 1990.

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48

Sapse, Anne-Marie, ed. Molecular Orbital Calculations for Biological Systems. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195098730.001.0001.

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Molecular Orbital Calculations for Biological Systems is a hands-on guide to computational quantum chemistry and its applications in organic chemistry, biochemistry, and molecular biology. With improvements in software, molecular modeling techniques are now becoming widely available; they are increasingly used to complement experimental results, saving significant amounts of lab time. Common applications include pharmaceutical research and development; for example, ab initio and semi-empirical methods are playing important roles in peptide investigations and in drug design. The opening chapters provide an introduction for the non-quantum chemist to the basic quantum chemistry methods, ab initio, semi-empirical, and density functionals, as well as to one of the main families of computer programs, the Gaussian series. The second part then describes current research which applies quantum chemistry methods to such biological systems as amino acids, peptides, and anti-cancer drugs. Throughout the authors seek to encourage biochemists to discover aspects of their own research which might benefit from computational work. They also show that the methods are accessible to researchers from a wide range of mathematical backgrounds. Combining concise introductions with practical advice, this volume will be an invaluable tool for research on biological systems.
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49

C, Young K., and Langley Research Center, eds. Simulator for multilevel optimization research. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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50

Simulator for multilevel optimization research. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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