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Library collection of textbooks used in courses at Wageningen University

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Bioinformatics [Monograph]
Dear, P.H. \ 2007
bioinformatics - genes - dna - genomes - dna sequencing - phylogenetics - techniques - textbooks - gene regulation - genomics - ontologies - transcriptomics

This book provides clear advices and explicit protocols for research and studies in bioinformatics. Topics that are covered in this book include data access, sequence searches and alignments, identification and annotation of features, transcriptomics, protein structure and function and comparative studies and phylogenetics. Each chapter guides the reader through the major databases and tools with worked examples.

Used in course: SSB-20306 Bioinformation Technology
Practical bioinformatics [Monograph]
Agostino, M.K. \ cop. 2013
bioinformatics - genomics - nucleotide sequences - databases - tools - genetic engineering - textbooks

This textbook is focused on the fundamental skills of bioinformatics: the analysis of DNA, RNA, and protein sequences. The chapters take the reader through a commonly asked question, “What can I learn about this sequence?” The only requirement is access to the Internet and a web browser; no other software is required. Concepts will be introduced within each chapter and then demonstrated through the analysis of problems using selected gene/protein examples. Adequate background, details, illustrations, and references will be provided to insure that readers understand the fundamentals and can do further reading if desired. Along the way, interesting genes, phenotypes, mutations, and biology will be introduced but not discussed extensively or analyzed.

Used in course: SSB-20306 Bioinformation Technology
An introduction to systems biology : design principles of biological circuits [Monograph]
Alon, U. \ 2007
biology - transcription - signal transduction - biological development - mathematical models - evolution - information processing - gene regulation

This book describes some of the design principles of biological systems and provides a mathematical framework in which these principles can be used to understand biological networks. The first part of the book deals with transcription regulation networks, describing elements of networks and their dynamics. The author stresses that biological systems show an inherent simplicity – employing and combining, rather than combining a rather small set of basic building-block circuits, each for specific computational tasks. The second part focuses on the principle of robustness – biological circuits are designed so that their essential function is insensitive to the naturally-occurring fluctuations in the components of the circuits. Finally, the author shows how constrained evolutionary optimization can be used to understand circuit design, and how kinetic proofreading can minimize errors made in biological information processing.

Used in course: SSB-30806 Systems Biology from Gene to Ecosystem
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