1. Biology & Bio-Informatic Books


  1. New Understanding Chemistry for Advanced Level by Ted Lister and Janet Renshaw, 3rd Edition


  2. New Understanding Biology for Advanced Level by Glenn Toole and Susan Toole, 4th Edition


  3. An introduction to genetic analysis by Anthony Griffiths, 8th edition


  4. Human Genetics: Concepts and Applications by Ricki Lewis, 9th edt


  5. Genetics: Analysis of genes and genomes by Daniel L. Hartl and Elizabeth W. Jones, 7th edt


  6. Lehninger Principles Of biochemistry by David L. Nelson and Michael M. Cox, 4th edt


  7. Essential Cell Biology by Alberts et al, 6th edt


  8. Molecular Cell Biology by Lodish et al, 8th edt


  9. Molecular Biology of the Cell, 4th edition by Alberts B, Johnson A, Lewis J, et al. New York: Garland Science; 2002


  10. Cell and Molecular Biology by Karp, 3rd edt


  11. Lehninger Principles of Biochemistry by David L. Nelson and Michael M. Cox 6th Edition


  12. Lehninger Principles Of biochemistry by David L. Nelson and Michael M. Cox, 4th edt


  13. Molecular Biology of the Gene by J. D. Watson, Tania A. Baker, et al., 4th edt


  14. Molecular Biology-Genes to Proteins by Burton E. Tropp, Jones & Bartlett Learning, 4th edt


  15. Molecular Biology by David Clark, 5th edt


  16. Molecular Biology by Robert F. Weaver, 5th edt


  17. High-Yield Biostatistics by A. Glaser


  18. Introduction to Molecular Biophysics by Jack A Tuszynski and Michal Kurzynski


  19. Physics in Biology and Medicine by Paul Davidovits


  20. Physics of the Life Sciences by Jay Newman


  21. Introduction to Proteomics - Tools for the New Biology by Daniel C. Liebler


  22. Gene Cloning and DNA Analysis byT.A. Brown, 6th edt


  23. From Genes to Genomes, Concepts and Applications of DNA Technology by Jeremy W. Dale, Malcolm von Schantz, 3rd edt


  24. Principles of Gene Manipulation and Genomics by Primrose SB and Twyman R, 7th edt


  25. High-Yield Biostatistics by A. Glaser


  26. The Biostatistics Cookbook by Seth Michelson and Timothy Schofield


  27. Introductory Biostatistics for the Health Sciences Modern Applications Including Bootstrap by Michael R. and Robert H.


  28. Life: The Science of Biology, Seventh Edition, by William K. Purves, David Sadava, Gordon H. Orians, and H. Craig Heller


  29. Molecular Biology of the Cell, 4th edition by Alberts B, Johnson A, Lewis J, et al. New York: Garland Science; 2002


  30. Computational Molecular Biology by Peter Clote and Rolf Backofen


  31. Introduction to Computational Biology by Bernhard Haublod and Thomas Wiehe


  32. Ethical and Social Issues in the Information age by Joseph Migga Kizza, 4th Edition


  33. Ethical, Legal and Social Issues in Medical Informatics by Penny Duquenoy, Carlisle George and Kai Kimppa


  34. Encyclopedia of Ethical, Legal and Policy Issues in Biotechnology by Thomas H. Murray and Maxwell J. Mehlman


  35. Biosafety Legal Aspects by Anna Milena Zivian, Alessandra Sensi and Carmen Bullon Caro


  36. Genetic Information Aquisition, Access, and Control by Alison K. Thompson and Ruth F. Chadwick


  37. The cambridge Textbook of Bioethics by Peter A. Singer and A.M. Viens


  38. Introduction to Computational Biology by Bernhard Haublod and Thomas Wiehe


  39. Bioinformatics and Functional Genomics by Jonatham Pevsner


  40. Bioinformatics: Sequence and Genome Analysis by David W. Mount


  41. Computational Molecular Biology: An Introduction by Peter Clote and Rolf Backofen


  42. Biopython: Tutorial and Cookbook by Jeff Chang et al


  43. Bioinformatics and Functional Genomics by Jonatham Pevsner


  44. Bioinformatics Methods and Applications: Genomics, Proteomics and Drug Discovery by Rastogi


  45. Bioinformatics: Sequence and Genome Analysis by David W. Mount


  46. Introduction to Bioinformatics by Arthur Lesk


  47. An Introduction to Bioinformatics Algorithm by Neil Jones and Pavel Pevzner


  48. DNA - Microarray data analysis using Bioconductor by Jamo Tuimala


  49. Bioinformatics for Dummies by Jean-Michel Claverie


  50. Bioinformatics volume I Data, Sequence Analysis and Evolution by Jonathan M Keith