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Fundamentals of Bioinformatics and Computational Biology_ Methods and Exercises in MATLAB-Springer (2015) [PDF]

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Description

 							
  
   Fundamentals of Bioinformatics and Computational Biology - Methods and
Exercises in MATLAB
  
   by Singh, Gautam B.
  
 
# Publisher: Springer International (2015)
  # Series: Modeling and Optimization in
Science and Technologies, Vol. 6
  # Language: English
  # Pages: 339 pages
  # Print ISBN:
9783319114026
  
   Description
  
  •	Clearly presents core bioinformatics
principles with “hands-on” example
  
  •	Illustrates the use of MATLAB bioinformatics
toolboxâ„¢ for solving complex bioinformatics problems
  
  •	Synthetizes concepts in databases,
machine learning, statistics and visualization for bioinformatics research
  
  •	Mainly written for
computer scientists and engineers
  
  This book offers comprehensive coverage of all the core topics of
bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolboxâ„¢. It is
primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and
graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground
up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science
students to fully understand and appreciate the ultimate goals of applying the principles of information technology to
challenges in biological data management, sequence analysis, and systems biology. The first part of the book also
includes a survey of existing biological databases, tools that have become essential in today’s biotechnology
research.
  
  The second part of the book covers methodologies for retrieving biological information,
including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus
of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for
analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to
systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis
with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and
computational biology. 						

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