Bioinformatics: A Concept-Based Introduction

Bioinformatics: A Concept-Based Introduction is provides a balance of information on computational methods and biological information. Instead of delving in depth, a broad but necessary overview is provided for each topic, resulting in content that will benefit readers with different levels of exper...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Mathura, Venkatarajan S. (Επιμελητής έκδοσης), Kangueane, Pandjassarame (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2009.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Bioinformatics: A Concept-Based Introduction  |h [electronic resource] /  |c edited by Venkatarajan S. Mathura, Pandjassarame Kangueane. 
264 1 |a Boston, MA :  |b Springer US,  |c 2009. 
300 |a XIV, 190 p. 23 illus., 3 illus. in color.  |b online resource. 
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505 0 |a to Biological Systems -- Computer Programming Fundamentals and Concepts -- to Algorithms -- Biological Sequence Databases -- Biological Sequence Search and Analysis -- Protein Structure Prediction -- Protein-Protein Interaction and Macromolecular Visualization -- Genes, Genomics, Microarray Methods, and Analysis -- to Proteomics -- Biomedical Literature Mining -- Computational Immunology: HLA-peptide Binding Prediction -- Bioinformatics Application: Eukaryotic Gene Count and Evolution -- Bioinformatics Application: Predicting Protein Subcellular Localization by Applying Machine Learning -- Bioinformatics Analysis: Gene Fusion. 
520 |a Bioinformatics: A Concept-Based Introduction is provides a balance of information on computational methods and biological information. Instead of delving in depth, a broad but necessary overview is provided for each topic, resulting in content that will benefit readers with different levels of expertise. This book contains contributions from experts in the field on emerging topics like Immunoinformatics, Genomics and Proteomics. It discusses real-world problems with Bioinformatics solutions, cites important URLs and contains selected chapter exercises to reinforce concepts. 
650 0 |a Life sciences. 
650 0 |a Agriculture. 
650 0 |a Bioinformatics. 
650 1 4 |a Life Sciences. 
650 2 4 |a Bioinformatics. 
650 2 4 |a Agriculture. 
700 1 |a Mathura, Venkatarajan S.  |e editor. 
700 1 |a Kangueane, Pandjassarame.  |e editor. 
710 2 |a SpringerLink (Online service) 
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856 4 0 |u http://dx.doi.org/10.1007/978-0-387-84870-9  |z Full Text via HEAL-Link 
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950 |a Biomedical and Life Sciences (Springer-11642)