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| By: Ying Xu ISBN: 1860949827 Publisher: Imperial College Press Release Date: June, 2008 Bioscience book rank: | ||
| By: IEEE ISBN: 0769520006 Publisher: Institute of Electrical & Electronics Enginee Release Date: January, 2003 Bioscience book rank: 5772358 | ||
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| By: Albert Burger, Duncan Davidson, Richard Baldock ISBN: 1846288843 Publisher: Springer Release Date: 06 December, 2007 Bioscience book rank: 638307 | ||
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| By: Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse ISBN: 354071782X Publisher: Springer Release Date: 03 May, 2007 Bioscience book rank: | ||
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| By: Nikolay Kolchanov, Ralf Hofestaedt, Luciano Milanesi ISBN: 0387294503 Publisher: Springer Release Date: 23 November, 2005 Bioscience book rank: 2670191 | ||
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| By: UNKNOWN ISBN: Publisher: Springer Release Date: Bioscience book rank: 68486 | Emergent Computation emphasizes the interrelationship of the different classes of languages studied in mathematical linguistics (regular, context-free, context-sensitive, and type 0) with aspects to the biochemistry of DNA, RNA, and proteins. In addition, aspects of sequential machines such as parity checking and semi-groups are extended to the study of the Biochemistry of DNA, RNA, and proteins. Mention is also made of the relationship of algebraic topology, knot theory, complex fields, quaternions, and universal turing machines and the biochemistry of DNA, RNA, and proteins. Emergent Computation tries to avoid an emphasis upon mathematical abstraction ("elegance") at the expense of ignoring scientific facts known to Biochemists. Emergent Computation is based entirely upon papers published by scientists in well-known and respected professional journals. These papers are based upon current research. A few examples of what is not ignored to gain "elegance": - DNA exists as triple and quadruple strands - Watson-Crick complementary bases have mismatches - There can be more than four bases in DNA - There are more than sixty-four codons - There may be more that twenty amino acids in proteins While Emergent Computation emphasizes bioinformatics applications, the last chapter studies mathematical linguistics applied to areas such as languages found in birds, insects, medical applications, anthropology, etc. Emergent Computation tries to avoid unnecessary mathematical abstraction while still being rigorous. The demands made upon the knowledge of chemistry or mathematics is minimized as well. The collected technical references are valuable in itself for additional reading. | |
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| By: UNKNOWN ISBN: Publisher: Wiley Release Date: Bioscience book rank: 59508 | I sat down and read through it at a recent bioinformatics conference in Detroit where Wiley had an exhibit. It's applicable for people who just learned how to code and have not had any formal software development training. In my experience, this type of scenario happens a lot: an amateur buys something such as Visual Basic and suddenly he or she is writing code. Someone in the office hears about it and things begin to explode. Suddenly, there is a ton of poorly tested, poorly engineered code, but the amateur is seen as an incredible genious because they can fix the mistakes they made - mistakes that probably should have never happened. So if you have someone in your office who got their hands on a compiler for the first time, you might want to read this to find out that there is more to programming than just writing code. I thought the text was well written for both managers and novice coders. <br /> <br />However, if you're an experienced developer (ie you have a four year degree in CS or are familiar with concepts of software testing, requirements gathering etc)you won't find any great insights in this one that makes it worth the price. It's basic software engineering information for software developers getting started. <br /> <br />As far as my comment on price, I'll add one more thing. If software development is completely new to you, this is a good start. After all, if it saves you from making some of those horrible mistakes I alluded to or opens your eyes so that it encourages you to take a formal course in software engineering and testing, then this is even more justification to encourage your boss to buy this text for you. <br /> <br />Again, this is a bit of a mixed bag for a review, and I'm a bit prejudiced about appropriate text books...again, maybe the easy read will encourage some beginners not to take the "cowboy" approach to software development. Get this book as a start...and then get some books with much more depth in critical subject areas such as those by Shari Pfleeger, Len Bass and Paul Jorgensen. <br /> <br />Part of me says give it two stars, part of me says give it five stars. It really depends on your background. Just don't expect this book to make you an expert in bioinformatics...it's basic software engineering with bioinformatics as the backround subject. | |
| By: Elena Marchiori, Jason H. Moore ISBN: 3540787569 Publisher: Springer Release Date: 01 April, 2008 Bioscience book rank: | ||
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| By: Ivan Yu Torshin ISBN: 1600210481 Publisher: Nova Science Publishers Release Date: January, 2007 Bioscience book rank: 3252141 | ||
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| By: Joseph Seckbach, Eitan Rubin ISBN: 1402026390 Publisher: Springer Release Date: 29 April, 2005 Bioscience book rank: 2367829 | ||
Related books in this category:
bioinformatics, computational biology, sequence analysis, protein structure, data mining, biostatistics
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