Books available @ Bioinformatics

Signature Author(s) Titel Year
2730 Hansen, Andrea Bioinformatik - Ein Leitfaden für Naturwissenschaftler 2001
18982 Cristianini, Nello An introduction to support vector machines 2006
18987.1 Lengauer, Thomas (ed.) Bioinformatics - From Genome to Drugs (Vol. I) 2002
18987.2 Lengauer, Thomas (ed.) Bioinformatics - From Genome to Drugs (Vol. II) 2002
18988 Augen, Jeff Bioinformatics in the post-genomic era 2005
18989 Pevsner, Jonathan Bioinformatics and functional genomics 2003
18990 Gusfield, Dan Algorithms on strings, trees, and sequences: computer science and computational biology 1999
18991 Voet, Donald Biochemistry 2004
18992 Paun, Gheorghe DNA computing: new computing paradigms 2005
18993 Clote, Peter Computational molecular biology: an introduction 2005
18994 Baldi, Pierre DNA microarrays and gene expression: from experiment to data analysis and modeling 2002
18995 Friesner, Richard A. (ed.) Advances in chemical physics - Computational Methods for Protein Folding 2001
18996 Weston, Paul Bioinformatics software engineering: delivering effective applications 2004
18997 Baldi, Pierre Bioinformatics: the machine learning approach 2001
18998 Korf, Ian BLAST 2003
18999 Lacroix, Zoé Bioinformatics: managing scientific data 2003
19000 Baxevanis, Andreas D. Bioinformatics: a practical guide to the analysis of genes and proteins 2005
19001 Petsko, Gregory A. Protein structure and function 2004
19002 Kohane, Isaac S. Microarrays for an integrative genomics 2003
19003 Setubal, João Carlos Introduction to computational molecular biology 1997
19004 Schölkopf, Bernhard Advances in kernel methods: support vector learning 1999
19005 Schölkopf, Bernhard Learning with Kernels: support vector machines, regularization, optimization, and beyond 2002
19006 Nei, Masatoshi Molecular evolution and phylogenetics 2000
19007 Wang, Jason T. L. Pattern discovery in biomolecular data: tools, techniques, and applications 1999
19010 Wit, Ernst Statistics for microarrays: design, analysis and inference 2004
19011 Hyvärinen, Aapo Independent component analysis 2001
19012 Sorensen, Daniel Likelihood, Bayesian, and MCMC methods in quantitative genetics 2002
19013 Eidhammer, Ingvar Protein bioinformatics: an algorithmic approach to sequence and structure analysis 2004
19014 Duda, Richard O. Pattern classification 2001
19015 Dwyer, Rex A. Genomic Perl: from bioinformatics basics to working code 2003
19016 Lesk, Arthur M. Introduction to protein architecture: the structural biology of proteins 2003
19017 MacKay, David J. C. Information theory, inference, and learning algorithms 2005
19018 Jones, Neil C. An introduction to bioinformatics algorithms 2004
19019 Cherkassky, Vladimir Learning from data: concepts, theory, and methods 1998
19020 Bishop, Christopher M. Neural networks for pattern recognition 2005
19021 Hand, David J. Principles of data mining 2001
19022 Sutton, Richard S. Reinforcement learning: an introduction 1998
19024 Kolchanov, Nikolay (ed.) Bioinformatics of genome regulation and structure 2004
19025 Branden, Carl Introduction to protein structure 1999
19026 Mathews, Christopher K. Biochemistry 2000
19030 Cichocki, Andrzej Adaptive blind signal and image processing: learning algorithms and applications 2005
19031 Vapnik, Vladimir N. Statistical learning theory 1998
19032 Knudsen, Steen Guide to analysis of DNA microarray data 2004
19033 Deco, Gustavo An information-theoretic approach to neural computing 1997
19034 Golub, Gene H. Matrix computations 1996
19035 Haykin, Simon (ed.) Unsupervised adaptive filtering 2000
19036 Lütkepohl, Helmut Handbook of matrices 1996
19037 Suykens, Johan A. Least squares support vector machines 2005
19038 Haykin, Simon Neural networks: a comprehensive foundation 1999
19041 Vapnik, Vladimir N. The nature of statistical learning theory 2000
19042 Joachims, Thorsten Learning to classify text using support vector machines: methods, theory and algorithms 2002
19043 Lee, Te-Won Independent component analysis: theory and applications 1998
19044 Jolliffe, Ian T. Principal component analysis 2002
19045 Hertz, John Introduction to the theory of neural computation 1991
19052 Hastie, Trevor The elements of statistical learning: data mining, inference, and prediction 2001
19059 Haykin, Simon S. Unsupervised adaptive filtering, Vol. II 2000
19071 Herbrich, Ralf Learning kernel classifiers: theory and algorithms 2002
19075 Barnes, Michael R. Bioinformatics for geneticists 2003
19076 Neal, Radford M. Bayesian learning for neural networks 1996
19077 Wang, Jason T. L. Data mining in bioinformatics 2005
19078 Ewens, Warren J. Statistical methods in bioinformatics: an introduction 2005
19079 Mitchell, Tom M. Machine learning 2005
19080 Grimmett, Geoffrey Probability and random processes 2005
19083 Hinton, Geoffrey Unsupervised learning: foundations of neural computation 1999
19084 Weigend, Andreas S. Time series prediction : forecasting the future and understanding the past 1994
19085 Barnett, Vic Outliers in statistical data 1998
19102 Fall, Christopher P. Computational cell biology 2005
19103 Kohonen, Teuvo Self-organizing maps 2001
19104 Huber, Peter J. Robust statistics 2004
19105 Bourne, Philip E. Structural bioinformatics 2003
19106 Gersho, Allen Vector quantization and signal compression 1992
19107 Vapnik, Vladimir N. The nature of statistical learning theory 2000
19109 Sternberg, Michael J. E. Protein structure prediction: a practical approach 2002
19110 Flower, Darren R. Drug design: cutting edge approaches 2002
19127 Lesk, Arthur M. Introduction to bioinformatics 2005
19134 Percus, Jerome K. Mathematics of genome analysis 2002
19135 Ripley, Brian D. Pattern recognition and neural networks 2005
19154 Cerami, Ethan XML for Bioinformatics 2005
19157 Pearl, Judea Probabilistic reasoning in intelligent systems: networks of plausible inference 1997
19160 Waterman, Michael S. Introduction to computational biology: maps, sequences and genomes 2000
19161 Efron, Bradley An introduction to the bootstrap 1998
19162 Cox, Trevor F. Multidimensional scaling 2001
19172 Koski, Timo Hidden Markov models for bioinformatics 2001
19173 Alberts, Bruce Molecular biology of the cell 2002
19174 Lodish, Harvey F. Molecular cell biology 2004
19234 Lesk, Arthur M. Database annotation in molecular biology 2005
19284 Campbell, A. Malcolm Discovering genomics, proteomics, and bioinformatics 2007
19285 Mount, David W. Bioinformatics: sequence and genome analysis 2004
19290 McLachlan, Geoffrey J. Analyzing microarray gene expression data 2004
19291 Orengo, Christine A. Bioinformatics: genes, proteins and computers 2005
19292 Speed, Terry Statistical analysis of gene expression microarray data 2003
19297 Pennington, Stephen R. Proteomics: from protein sequence to function 2001
19308 Claverie, Jean-Michel Bioinformatics for dummies 2006
19388 Lidie, Stephen Mastering Perl/Tk 2002
19398 Orwant, Jon Mastering algorithms with Perl 1999
19673 Press, William H. Numerical recipes: the art of scientific computing 2007
19691 Paradis, Emmanuel Analysis of phylogenetics and evolution with R 2006
19793 Draper, Norman Richard Applied regression analysis 1998
19794 Hosmer, David W. Applied logistic regression 2000
19868 Dudoit, Sandrine Multiple testing procedures with applications to genomics 2008
19869 Gentleman, Robert Bioinformatics and computational biology solutions using R and Bioconductor 2005
19979 Semizarov, Dimitri Genomics in drug discovery and development 2009
20010 Boyd, Stephen P. Convex optimization 2008
20019 Bishop, Christopher M. Pattern recognition and machine learning 2006
20142 Ligges, Uwe Programmieren mit R 2008
20148 Chambers, John M. Software for data analysis: programming with R 2008
20149 Gentleman, Robert R programming for bioinformatics 2009
20150 Murrell, Paul R graphics 2006
20157 Leach, Andrew R. An introduction to chemoinformatics 2007
20187 Hartl, Daniel L. Principles of population genetics 2007
20188 Foulkes, Andrea S. Applied statistical genetics with R: for population-based association studies 2009
20189 Wickham, Hadley ggplot2: elegant graphics for data analysis 2009
20190 Broman, Karl W. A guide to QTL mapping with R/qtl 2009
20191 Claude, Julien Morphometrics with R 2008
20213 Hartl, Daniel L. A primer of population genetics 2000
20216 Siegmund, David The statistics of gene mapping 2007
20217 Gustafson, J. Perry Genomics of Disease 2008
20218 Nielsen, Kare Lehmann Serial analysis of gene expression (SAGE) 2008
20219 Maly, Ivan V. Systems biology 2009
20220 Sarkar, Deepayan Lattice: multivariate data visualization with R 2008
20221 Maindonald, John Data analysis and graphics using R: an example-based approach 2008
20228 Bolker, Benjamin M. Ecological models and data in R 2008
20231 Falus, Andras Clinical applications of immunomics 2009
20232 Forsdyke, Donald R. Evolutionary Bioinformatics 2006
20233 Hahne, Florian Bioconductor case studies 2008
20234 Isaev, Alexander Introduction to mathematical methods in bioinformatics 2006
20235 Murphy, William J. Phylogenomics 2008
20236 Krawetz, Stephen A. Bioinformatics for systems biology 2009
20237 Chapelle, Olivier Semi-supervised learning 2006
20238 Getoor, Lise Introduction to statistical relational learning 2007
20245 Jaynes, Edwin T. Probability theory: the logic of science 2009
20253 Lemey, Philippe The phylogenetic handbook 2009
20254 Deonier, Richard C. Computional genome analysis: an introduction 2005
20255 Chao, Kun-Mao Sequence comparison: theory and methods 2008
20269 Gan, Guojun Data clustering: theory, algorithms, and applications 2007
20270 Edelstein-Keshet, Leah Mathematical models in biology 2005
20271 Cox, David R. Principles of statistical inference 2006
20272 Cristianini, Nello Introduction to computational genomics: a case studies approach 2007
20273 Do, Kim-Anh Bayesian inference for gene expression and proteomics 2006
20274 Schölkopf, Bernhard Kernel methods in computational biology 2004
20275 Fertin, Guillaume Combinatorics of genome rearrangements 2009
20276 Hammerstein, Peter Genetic and cultural evolution of cooperation 2003
20277 Lund, Ole Immunological bioinformatics 2005
20281 Hofbauer, Josef Evolutionary games and population dynamics 2003
20282 Leonard, Thomas Bayesian methods: an analysis for statisticians and interdisciplinary researchers 2009
20288 Koller, Daphne Probabilistic graphical models: principles and techniques 2009
20289 Bürger, Reinhard The mathematical theory of selection, recombination, and mutation 2000
20290 Hamilton, Matthew B. Population genetics 2009
20291 Gasteiger, Johann Chemoinformatics: a textbook 2008
20304 Kogan, Jacob ntroduction to clustering large and high-dimensional data 2007
20305 Avise, John C. Evolutionary pathways in nature: a phylogenetic approach 2008
20308 Bottou, Léon Large-scale Kernel machines 2007
20329 Freedman, David Statistical models: theory and practice 2009
20342 Jacoby, Edgar Chemogenomics: knowledge-based approaches to drug discovery 2006
20418 McLachlan, Geoffrey J. The EM algorithm and extensions 2008
20500 Barnes, Michael R. Genetic variation: methods and protocols 2010
20503 Moorhouse, Michael Bioinformatics biocomputing and Perl: an introduction to bioinformatics, computing skills and practice 2004
20505 Motulsky, Harvey Intuitive biostatistics 1995
20509 Greene, Judith Learning to use statistical tests in psychology 2006
20513 Klipp, Edda Systems biology: a textbook 2009
20514 Gruijter, Dato N. M. de Statistical test theory for the behavioral sciences 2008
20517 Tisdall, James D. Mastering Perl for bioinformatics 2003
20527 Kanji, Gopal K. 100 statistical tests 2006
20538 Miller, Frederic P. Copy number variation: DNA, Genome, Ploidy, Deletion (genetics), Gene duplication, Low copy repeats, Segmental duplication, Cytogenetics, Fluorescent ... Comparative genomic hybridization 2010
20664 Laird, Nan M. The Fundamentals of Modern Statistical Genetics 2011
20709.1 Balding, David J. Handbook of Statictical Genetics 2007
20709.2 Balding, David J. Handbook of Statictical Genetics 2007
21461 Neale, Benjamin Statistical Genetics: Gene Mapping Through Linkage and Association 2008
21551 Barillot, Emmanuel Computational Systems Biology of Cancer 2013
21558 Rencher, Alvin C. Linear models in statistics 2008
21565 Murphy, Kevin P. Machine learning: A Probabilistic Perspective 2012
21576 Moore, David S. Moore Introduction to the practice of statistics 2012
21644 McKinney, Wes Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2012
21682 Sanders, Jason CUDA by Example: An Introduction to General-Purpose GPU Programming 2011
21683 Reed, David Chemistry for Biologists 2013
21686 Lutz, Mark Learning Python 2013
21687 Wilt, Nickolas The CUDA Handbook 2013
21690 Paradis, Emmanuel Analysis of Phylogenetics and Evolution with R (2nd Edition) 2012
21692 Richert, Willi et. al Building Machine Learning Systems with Python 2013
21742 Eddelbuettel, Dirk Seamless R and C++ Integration with Rcpp 2013
21743 Lütkepohl, Helmut Handbook of matrices 1996
21774 Deng, Li Deep Learning
Methods and Applications
2014
21843 Manning, Christopher D. et al. Foundations of Statistical Natural Language Processing 1999
21844 Szeliski, Richard Computer Vision: Algorithms and Applications 2011
21847 Kerber, Adalbert et al. Mathematical Chemistry and Chemoinformatics 2014