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List of Books on Mathematical & Computational Biology & Related Areas Compiled by LIBRARY Indian Institute of Technology Gandhinagar

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Page 1: Mathematical and Computational Biology

List of Books

on

Mathematical & Computational Biology &

Related Areas

Compiled by

LIBRARY

Indian Institute of Technology Gandhinagar

Page 2: Mathematical and Computational Biology

2

Mathematical and Computational Biology

1. Ahmad, J. (2009). Teaching of biological sciences. New Delhi: PHI Learning.

570 AHM 003310

2. Alon, U. (2007). An introduction to systems biology: design principles of biological circuits.

Boca Raton, FL: Chapman & Hall/CRC.

570.285 ALO 000827

3. Aluru, S. (Ed.). (2006). Handbook of computational molecular biology. Boca Raton, FL:

Chapman & Hall/CRC.

572.8 HAN 008095

4. Alberts, B. (2009). Essential cell biology. New York: Garland Publishing.

571.6 ESS 003814

5. Alberts, B. (Ed.). (2008). Molecular biology of the cell. New York: Garland Science.

571.6 ALB 001653

6. Allen, L. J. S. (2011). An introduction to stochastic processes with applications to biology.

Boca Raton, FL: Chapman & Hall/CRC.

519.23 ALL 017103

7. Alon, U. (2007). An introduction to systems biology: design principles of biological circuits.

Boca Raton, FL: Chapman & Hall/CRC.

570.285 ALO 000827

8. Aluru, S. (Ed.). (2006). Handbook of computational molecular biology. Boca Raton, FL:

Chapman & Hall/CRC.

572.8 HAN 008095

9. Amyes, S. G. B. (2013). Bacteria: a very short introduction. Oxford: Oxford University Press.

579.3 AMY 017451

Page 3: Mathematical and Computational Biology

3

10. Antonisamy, B. (2010). Biostatistics: principles and practice. New Delhi: Tata McGraw Hill

Education.

570.15195 ANT 005779

11. Attenborough, D. (2009). Life. London: BBC Earth. (DVD)

570 ATT A00168

12. Attwood, T. K., & Parry-Smith, D. J. (1999). Introduction to bioinformatics. Harlow: Longman.

570.285 ATT 001066

13. Ausubel, F. M. (Ed.). (2002). Short protocols in molecular biology: a compendium of methods

from Current protocols in molecular biology. New York: Wiley.

572.8028 SHO 009240

14. Banks, H. T. (2009). Mathematical and experimental modeling of physical and biological

processes. Boca Raton: CRC Press.

501.5118 BAN 004205

15. Barillot, E.... [et al.]. (2013). Computational systems biology of cancer. Boca Raton: CRC

Press.

362.196994002 COM 016730

16. Baxevanis, A. D. (2005). Bioinformatics: a practical guide to the analysis of genes and

proteins. Hoboken: Wiley India.

572.86330285 BIO 015019

17. Becker, Wayne M. (2006). World of the cell: the cell place. New Delhi: Pearson Education.

571.6 BEC 005082

18. Becker, Wayne M. (2009). Solutions manual to accompany the world of the cell. New York:

Pearson/Benjamin Cummings.

571.6 BEC 007894

19. Bailey, N. T. J. (1995). Statistical methods in biology. New York: Cambridge University Press.

519.502 457 4 BAI 001916

Page 4: Mathematical and Computational Biology

4

20. Baldwin, Geoff. (2012). Synthetic biology: a primer. London: Imperial College Press.

660.6 SYN 013399

21. Benton, Michael J. (2008). History of life: a very short introduction. New Delhi: Oxford

University Press.

576.8 BEN 017530

22. Bejan, A. (2012). Design in nature: how the constructal law governs evolution in biology,

physics, technology, and social organization. New Delhi: Doubleday.

500 BEJ 012523

23. Barash, D. P. (2014). Buddhist biology: ancient Eastern wisdom meets modern Western

science. Oxford ; New York: Oxford University Press.

570.1 BAR 018014

24. Baxevanis, A. D. (2005). Bioinformatics: a practical guide to the analysis of genes and

proteins. Hoboken: Wiley India.

572.86330285 BIO 015019

25. Bellinger, E. G. (2010). Freshwater algae: identification and use as bioindicators. Chichester,

West Sussex, UK ; Hoboken, NJ: Wiley-Blackwell.

579.8 BEL 004498

26. Berg, H. C. (1993). Random walks in biology. Princeton, N.J: Princeton University Press.

570.151 95 BER 000826

27. Bergeron, Bryan P. (2003). Bioinformatics computing. New Delhi: PHI.

572.8 BER 006175

28. Bernstein, Ruth. (2004). 3,000 solved problems in biology. New York: McGraw Hill.

570 BER 013229

29. Blair, R. C. (2009). Biostatistics for the health sciences. New Delhi: Pearson Education.

570.15195 BLA 005005

Page 5: Mathematical and Computational Biology

5

30. Bodine, E. N. (2014). Mathematics for the life sciences. Princeton: Princeton University

Press.

570.151 BOD 019463

31. Bonifacino, Juan S. (2004). Short protocols in cell biology science: a compendium of methods

from Current protocols in cell biology. Hoboken, N.J.: Wiley India.

571.638 SHO 014979

32. Buchanan, M. (Ed.). (2010). Networks in cell biology. Cambridge ; New York: Cambridge

University Press.

571.6 NET 015176

33. Butler, J. M. (2005). Forensic DNA typing: biology, technology, and genetics of STR markers.

Amsterdam; Boston: Elsevier Academic Press.

572.86 BUT 017061

34. Caetano-A, G. (2010). Evolutionary genomics and systems biology. Hoboken: Wiley India.

572.838 CAE 011345

35. Carnevale, N. T. (2006). The NEURON book. Cambridge, UK ; New York: Cambridge

University Press.

573.801 CAR 018636

36. Campbell, Neil A. (2005). Biology. New Delhi: Pearson Education.

570 CAP 005425

37. Campbell, Neil A. (2010). Essential biology with physiology. New Delhi: Pearson Education.

570 CAM 005439

38. Cappuccino, J. G. (2005). Microbiology : a laboratory manual. New Delhi: Pearson

Education.

579.078 CAP 005057

39. Caswell, H. (2001). Matrix population models: construction, analysis, and interpretation.

Sunderland, Mass.: Sinauer Associates.

577.880113 CAS 017837

Page 6: Mathematical and Computational Biology

6

40. Catling, D. (2013). Astrobiology: a very short introduction. Oxford: Oxford University Press.

576.839 CAT 019264

41. Chakraborty, T. (Ed.). (2007). Charge migration in DNA: perspectives from physics,

chemistry, and biology. Berlin ; New York: Springer.

572.86 CHA 008607

42. Charlesworth, B. (2003). Evolution: a very short introduction. Oxford ; New York: Oxford

University Press.

576.8 CHA 017499

43. Chen, J. (2010). Biological data mining. Boca Raton: CRC Press.

570.285 BIO 003816

44. Chiras, D. D. (2015). Human biology. Burlington, MA: Jones & Bartlett Learning.

612 CHI 019238

45. Churchland, P. S. (1992). Computational brain. London: MIT Press.

612.820113 CHU 003937

46. Clark, David P. (2012). Biotechnology: academic cell update. Boston: Academic cell Press.

660.6 CLA 011530

47. Cooper, G. M. (2009). The cell: a molecular approach. Washington, D.C. : Sunderland, Mass:

ASM Press; Sinauer Associates.

571.6 COO 008409

48. Coyne, J. A. (2009). Why evolution is true. New York: Viking.

576.8 COY 016671

49. Darwin, Charles. (1937). Origin of species. New York: Penguin Books.

575.0162 DAR 014332

50. Dayan, Peter. (2001). Theoretical neuroscience: computational and mathematical modeling

of neural systems. Cambridge: MIT Press.

573.80113 DAY 013922

Page 7: Mathematical and Computational Biology

7

51. Dawkins, R. (2004). The ancestor’s tale: a pilgrimage to the dawn of evolution. Boston:

Houghton Mifflin.

576.8 DAW 017969

52. Dawkins, R. (2006). Selfish Gene. New Delhi: Oxford University Press.

591.5 DAW 016028

53. Dawkins, R. (2010). The greatest show on earth: the evidence for evolution. New York: Free

Press.

576.8 DAW 018267

54. De Castro, L. N., & Von Zuben, F. J. (Eds.). (2005). Recent developments in biologically

inspired computing. Hershey, PA: Idea Group Pub.

006.3 CAS 018096

55. Demin, O. (2009). Kinetic modelling in systems biology. Boca Raton: Champman and

Hall/CRC.

570.113 DEM 003819

56. Demirkaya, O. (2009). Image processing with MATLAB: applications in medicine and biology.

Boca Raton: CRC Press.

621.3670285 DEM 018483

57. Denny, M. W., American Society of Zoologists, & Meeting. (1993). Air and water: the biology

and physics of life’s media. Princeton, N.J.: Princeton University Press.

574.191 DEN 014993

58. Denny, M. W., & Gaines. (2000). Chance in biology using probability to explore nature.

Princeton: Princeton University Press.

570.15192 DEN 015468

59. Dryhurst, G. (1988). Redox chemistry and interfacial behavior of biological molecules. New

York: Plenum.

572.8 RED 012983

Page 8: Mathematical and Computational Biology

8

60. Durbin R., & Krogh A., et. al. (1998). Biological sequence analysis probabilistic models of

protein & nucleic acids. New York: Cambridge University Press.

572.8633 DUR 011341

61. Epstein, R. J. (2003). Human molecular biology: an introduction to the molecular basis of

health and disease. Cambridge, UK ; New York: Cambridge University Press.

612 EPS 003504

62. Flammang, P. (2013). Biological and biomimetic adhesives. Cambridge: Royal Society of

Chemistry.

570 FLA 014789

63. Forbes, N. (2004). Imitation of life: how biology is inspiring computing. Cambridge, Mass.:

Mit Press.

570 FOR 018293

64. Forthofer, R. N. (2007). Biostatistics: a guide to design, analysis and discovery. New Delhi:

Elsevier.

570.15195 FOR 003034

65. Fournier, R. L. (2012). Basic transport phenomena in biomedical engineering. Boca Raton:

CRC Press.

571.64 FOU 009776

66. Gadella, T. W. J. (2009). FRET and FLIM techniques: v. 33. Amsterdam: Elsevier.

570.282 GAD 010288

67. Gautham, N. (2006). Bioinformatics : databases and algorithms. New Delhi (India): Narosa

Publishing House.

570.2851 GAU 002679

68. Gazit, E. (2013). Plenty of room for biology at the bottom: an introduction to

bionanotechnology. London : Hackensack, NJ: Imperial College Press.

610.28 GAZ 015490

69. Gibas, C. (2001). Developing bioinformatics computer skills. Beijing : Cambridge: O’Reilly.

570.285 JAM 015892

Page 9: Mathematical and Computational Biology

9

70. Gleason, F. K. (2012). Plant biochemistry. Sudbury: Jones & Bartlett Publishing.

572.2 GLE 013453

71. Glick, B. R. (2010). Molecular biotechnology: principles and applications of recombinant

DNA. Washington, DC: ASM Press.

660.65 GLI 012789

72. Goldman, E. (2008). Practical handbook of microbiology. Boca Raton: CRC Press.

579 PRA 003818

73. Gomez, F. A. (Ed.). (2008). Biological applications of microfluidics. Hoboken, N.J:

Wiley-Interscience.

570.284 BIO 008827

74. Gopal, S. (2009). Bioinformatics: with fundamentals of genomics and proteomics. New

Delhi: Tata McGraw Hill Education.

570.80285 GOP 005811

75. Hammes, G. G. (2005). Spectroscopy for the biological sciences. Hoboken, N.J:

Wiley-Interscience.

572 HAM 008596

76. Hammes, G. G. (2007). Physical chemistry for the biological sciences. Hoboken, N.J:

Wiley-Interscience.

572.43 HAM 001702

77. Haynie, D. T. (2001). Biological thermodynamics. Cambridge, UK: Cambridge University

Press.

572.436 HAY 002167

78. Helms, V. (2008). Principles of computational cell biology : from protein complexes to

cellular networks. Germany: Wiley-VCH Verlag.

571.60113 HEL 003629

79. Heritage, J. (2002). Introductory microbiology. New Delhi: Cambridge University Press in

association with the Institute of Biology.

579 HER 002172

Page 10: Mathematical and Computational Biology

10

80. Hill, T. L. (2005). Free energy transduction and biochemical cycle kinetics. Mineola, N.Y:

Dover Publications.

572.436 HIL 000926

81. Hine, Robert. (2006). Universities press Dictionary of cell and molecular biology. Hyderabad:

Universities Press.

571.603 HIN 004241

82. Hoefnagels, M. (2012). Biology: concepts and investigations. New York: McGraw-Hill.

570 HOE 008794

83. Hof, M., Hutterer, R., & Fidler, V. (Eds.). (2005). Fluorescence spectroscopy in biology:

advanced methods and their applications to membranes, proteins, DNA, and cells. Berlin ;

New York: Springer.

572 FLU 007815

84. Hoffmann, P. M. (2012). Life’s ratchet: how molecular machines extract order from chaos.

New York: Basic Books.

572.33 HOF 017681

85. Hofmann, A. (2014). Methods of molecular analysis in the life sciences. Cambridge, United

Kingdom ; New York: Cambridge University Press.

573 HOF 019613

86. Holland, J. H. (1992). Adaptation in natural and artificial systems: an introductory analysis

with applications to biology, control, and artificial intelligence. Cambridge, Mass: MIT Press.

574.5015118 HOL 019127

87. Hutmacher, D. (2014). Biointerfaces where material meets biology. Royal Society of

Chemistry.

570 BIO 019678

88. Ignacimuthu, S. (2005). Basic bioinformatics. New Delhi: Narosa Publishing House.

570.285 IGN 002568

89. James, I. M. (2009). Remarkable biologists. New York: Cambridge University Press.

570.922 JAM 014925

Page 11: Mathematical and Computational Biology

11

90. Jones, D. S. (2010). Differential equations and mathematical biology. Boca Raton: CRC

Press.

570.151 JON 010818

91. Iniewski, K. (2011). CMOS Bio-Microsystems: where electronics meets biology. Hoboken,

New Jersey: Wiley.

621.381 INI 009153

92. Jin Xiong. (2006). Essential bioinformatics. Cambridge,UK: Cambridge University Press.

572.80285 XIO 002168

93. Kelly, G. M. (2008). Solutions manual to accompany Molecular cell biology. New York: W.H.

Freeman.

571.6 KEL 007667

94. Klipp, E. (Ed.). (2005). Systems biology in practice: concepts, implementation and

application. Weinheim: Wiley-VCH.

578.012 SYS 002132

95. Krane, D. E. (2003). Fundamental concepts of bioinformatics. New Delhi: Pearson

Education.

570.285 KRA 005373

96. Le Novere, N. (2014). Computational systems neurobiology. [S.l.]: Springer.

573.8 COM 019355

97. Lewis, P. D. (2010). R for medicine and biology. Sudbury: Jones & Bartlett Publishing.

610.285 LEW 013454

98. Lodish, H. F. (2008). Molecular cell biology. New York: W.H. Freeman.

571.6 LOD 001655

99. Martinko, Madigan. (2009). Brock biology of microorganisms. San Francisco: Pearson

Education.

579. 292009 BRO 012153

Page 12: Mathematical and Computational Biology

12

100. Mason, Kenneth A. (2011). Biology. New York: McGraw-Hill.

570 MAS 008793

101. Noble, Denis. (2008). Music of life: biology beyond genes. Oxford: Oxford University

Press.

576 NOB 013697

102. O’Reilly, R. C. (2000). Computational explorations in cognitive neuroscience :

understanding the mind by simulating the brain. London: MIT Press.

612.80113 REI 003936

103. Pachter, L., & Sturmfels, B. (Eds.). (2005). Algebraic statistics for computational biology.

Cambridge ; New York: Cambridge University Press.

572.86 ALG 004266

104. Palsson, B. (2006). Systems biology: properties of reconstructed networks. Cambridge ;

New York: Cambridge University Press.

572.802 85 PAL 001917

105. Perthame, B. (2007). Transport equations in biology. Basel: Birkhauser.

577.8801515353 PER 009185

106. Pevzner, P. (2000). Computational molecular biology: an algorithmic approach.

Cambridge, Mass: MIT Press.

572.8 PEV 006233

107. Pevzner, P. (2004). Computational molecular biology: an algorithmic approach. New

Delhi: Prentice-Hall of India.

572.8 PEV 006234

108. Rao, A. S. (1999). Introduction to microbiology. New Delhi: Prentice-Hall of India.

576 RAO 006585

109. Raven, P. H. (2011). Biology. Dubuque, IA: McGraw-Hill.

570 RAV 009036

Page 13: Mathematical and Computational Biology

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110. Ream, Walt. (1999). Molecular Biology Techniques: An Intensive Laboratory Course.

London: Academic Press.

572.8 REA 010287

111. Reece, J. B., & Campbell, N. A. (2011). Campbell biology. Boston: Benjamin Cummings /

Pearson Education.

570 REE 008566

112. Reznick, David N. (2011). The "Origin" then and now. Princeton: Princeton University

Press.

576.8 RUS 011578

113. Roux, Benoît. (2011). Molecular machines. Singapore: World Scientific.

572.8 ROU 015044

114. Roux, B. (Ed.). (2011). Molecular machines. Hackensack, NJ: World Scientific.

572.8 ROU 015045

115. Rupp, B. (2010). Biomolecular crystallography: principles, practice, and application to

structural biology. New York: Garland Science.

572.36 RUP 016039

116. Schlegel, H. G. (1986). General microbiology. Cambridge,UK: Cambridge University Press.

579 SCH 002173

117. Schneider, E. D. (2005). Into the cool : energy flow thermodynamics and life. New Delhi:

Prentice hall of India.

572.43 SCH 003278

118. Schuster, G. B., & Angelov, D. (Eds.). (2004). Long-range charge transfer in DNA. Berlin ;

New York: Springer.

572.8633 LON 008608

119. Schwartz, R. (2009). Biological modeling and simulation: a survey of practical models,

algorithms, and numerical methods. New Delhi: PHI.

570.11 SCH 006179

Page 14: Mathematical and Computational Biology

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120. Segel, L. A. (2013). A primer on mathematical models in biology. Philadelphia: Society for

Industrial and Applied Mathematics.

570.113 SEG 017974

121. Selvin, P. R., & Ha, T. (Eds.). (2008). Single-molecule techniques: a laboratory manual.

Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory Press.

572.8078 SEL 007800

122. Sharma, P. D. (2005). Environmental microbiology. New Delhi: Narosa Publishing House.

579.17 SHA 002581

123. Silva, E. (2006). Flavins: photochemistry and photobiology. Cambridge: Royal Society of

Chemistry (Bangalore).

572.59 SIL 010290

124. Singh, V. (2007). Bioinformatics computing. New Delhi (India): Narosa Publishing House.

572.8 SIN 002678

125. Small, M. (2012). Dynamics of biological systems. Boca Raton, FL: CRC Press.

570.15118 SMA 016774.

126. Stanley, S. A. (2008). Cell biology for biotechnologists. New Delhi: Narosa Publishing

House.

570 STA 002579

127. Starr, C., Evers, C. A., & Starr, L. (2011). Biology: concepts and applications without

physiology. Australia; United States: Brooks/Cole, Cengage Learning.

570 STA 008671

128. Surzycki, Stefan. (2000). Basic techniques in molecular biology. Berlin: Springer.

572.8 SUR 010047

129. Szallasi, Z. (2006). System modeling in cellular biology : from concepts to nuts and bolts.

New Delhi: Prentice hall of India.

571.6011 SYS 003330

Page 15: Mathematical and Computational Biology

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130. Takemura, M., & Becom Co. (2009). The manga guide to molecular biology. San

Francisco, CA : [Tokyo]: No Starch Press ; Ohmsha.

572.8 TAK 018062

131. Tortora, G. J. (2007). Microbiology : an introduction. New Delhi: Pearson Education.

579 TOR 005054

132. Waite, Gabi. (2007). Applied cell and molecular biology for engineers. New York: Tata

McGraw.

571.6 WAI 011171

133. Wall, M. E. (Ed.). (2012). Quantitative biology: from molecular to cellular systems. Boca

Raton: Taylor & Francis.

572.82 WAL 016776

134. Waterman, M.S. (1995). Introduction to computational biology: maps, sequences, and

genomes: interdisciplinary statistics. Boca Raton, Fla.: Taylor & Francis.

574.880151 WAT 011348

135. Webster, J. G. (2004). Bioinstrumentation. New Delhi: Wiley.

570.28 WEB 004006

136. Wilkinson,, D. J. (2006). Stochastic modelling for systems biology. Boca Raton: Chapman

& Hall.

572.8 WIL 002123

137. Wilson, E. O. (2013). Letters to a young scientist. New York: Liveright Publishing

Corporation, a Division of W.W. Norton & Company.

570.92 WIL 016107

138. Wilson, J. H., & Hunt. (2008). Molecular biology of the cell, 5th edition. New York:

Garland Science.

571.6076 WIL 007481

139. Wolpert, L. (2011). Developmental biology: a very short introduction. Oxford ; New York:

Oxford University Press.

571.8 LEW 017485

Page 16: Mathematical and Computational Biology

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140. Winfrey, M. R. (2009). Unraveling DNA : molecular biology for the laboratory. New Delhi:

Pearson Education.

572.86 WIN 005081

141. Watson, J. D. (2004). Molecular biology of the gene. New Delhi: Pearson Education.

572.8 WAT 005059

142. Wunschiers, R. (2006). Computational biology: Unix/Linux, data processing. Berlin:

Springer.

005.711 WUN 008235

143. Xiong, Jin. (2006). Essential bioinformatics. Cambridge, UK: Cambridge University Press.

572.80285 XIO 002168

144. Ye, S. Q. (2008). Bioinformatics: a practical approach. Boca Raton: Chapman & Hall/CRC.

570.285 YES 004077

145. Zar, J. H. (1999). Biostatistical analysis. New Delhi: Pearson Education.

570.15195 ZAR 005008

Compiled by LIBRARY

Dated: 16.03.2015