Read Bioinformatics by Andrzej Polanski, Marek Kimmel Online
[Andrzej Polanski, Marek Kimmel] ✓ Bioinformatics à Download Online eBook or Kindle ePUB. Bioinformatics I hate this one but it's personal opinion I think it depends on where you are in the bioinformatics field. For me, I need something really practical of what need to be done and not to much of math and matrices and everything else. I figure it would not work for most of us who are not that good with math and computers.]
| Title | : | Bioinformatics |
| Author | : | |
| Rating | : | 4.57 (865 Votes) |
| Asin | : | 3540241663 |
| Format Type | : | paperback |
| Number of Pages | : | 376 Pages |
| Publish Date | : | 2016-04-06 |
| Language | : | English |
Postelnicu, Zentrablatt MATH, Vol. From the reviews: "The authors present mathematical models in bioinformatics and describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. Would you recommend it? Yes, if you are interested in the statistical and mathematical underbelly of bioinformatics." (Times Higher Education, May, 2008)"The strength of the book is its thorough survey of bioinformatics topics. … Its structure–two parts (foundations and applications), well-classified problem areas, and a gradual approach for problem framing and solving- make it invaluable for computer scientists learning bioinformatics, or biologists applying computational methods to their fields. The book is suitable for graduate students and professionals, and can serve as a reference for state-of-the-
The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.
Dr. Prior to this, he worked as a Post Doctoral Fellow at the University of Texas, Human Genetics Center, Houston USA (1996-1997) ans as a Visiting Professor at Rice University, Houston USA (2001-2003). His principal interests are stochastic modeling of human disease (in particular lung cancer progression and screening), statistical and population genetics, biostatistics and bioinformatics.. His research interests are in bioinformatics, b
I hate this one but it's personal opinion I think it depends on where you are in the bioinformatics field. For me, I need something really practical of what need to be done and not to much of math and matrices and everything else. I figure it would not work for most of us who are not that good with math and computers.
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