Learn IT - Books tags bioinformatics

$Bioinformatics For Dummies (Math & Science)$

Bioinformatics For Dummies (Math & Science)

For Dummies, 2006

Search databases and analyze sequences like a pro

Get the most out of your PC and the Web with the right tools

Explore the human genome and analyze DNA — without leaving your desktop! All it takes is the basics of molecular biology and the wealth of information in this friendly guide. You'll discover the...

Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)

O'Reilly, 2009

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and...

Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

MIT Press, 2001

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

Python Algorithms: Mastering Basic Algorithms in the Python Language

Apress, 2014

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.

The book...

High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Artech House Publishers, 2009

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Programming Interviews Exposed: Secrets to Landing Your Next Job (Programmer to Programmer)

Wrox Press, 2007

The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and...

Bioinformatics and Biomarker Discovery

John Wiley & Sons, 2010

This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems.

The focus of the book is on how fundamental statistical and data mining approaches...

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)

Springer, 2009

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and...

R in a Nutshell: A Desktop Quick Reference

O'Reilly, 2009

What people are saying about R in a Nutshell

"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it...

Bioinformatics: A Concept-Based Introduction

Springer, 2008

Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments. This requires a grasp of knowledge mining algorithms, a...

Data Analysis, Machine Learning and Applications: Proceedings

Springer, 2008

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume...

User-Level Workflow Design: A Bioinformatics Perspective (Lecture Notes in Computer Science)

Springer, 2013

This book discusses requirement-centric workflow design as an instance of consequent constraint-driven development, in four different scenarios: phylogenetic analysis, the dedicated GeneFisher-P scenario, the FiatFlux-P scenario, and microarray data analyses.

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