TY  - BOOK
AU  -  Venkatarajan Mathura 
AU  -  Pandjassarame Kangueane
TI  - Bioinformatics : A concept Based Introduction
SN  - 9780387848693
U1  - 570.285 BIO 
PY  - 2009///
CY  - New York
PB  -  Springer
KW  -  	      Bioinformatics.     Computational Biology.     Biologie informatique
N1  -  	Introduction to biological systems / Claude-Ehnry Volmar [and others] -- Computer programming fundamentals and concepts / Deepak N. Kolippakkam, Pankaj Gupta and Venkatarajan S. Mathura -- Introduction to algorithms / Sethilkumar Radhakrishnan, Deepak Kolippakkam and Venkatarajan S. Mathura -- Biological sequence databases / Meena Sakharkar, Pandjassarame Kangueane and Venkatarajan S. Mathura -- Biological sequence search and analysis / Venkatarajan S. Mathura -- Protein structure prediction / Hongyi Zhou, Yaoqi Zhou and Venkatarajan S. Mathura -- Protein-protein interactions and macromolecular visualization / Arun Ramani [and others] -- Genes, genomics, microarray methods and analysis / Ghania Ait-Ghezala and Venkatarajan S. Mathura -- Introduction to proteomics / Fai Poon and Venkatarajan S. Mathura -- Biomedical literature mining / Chaolin Zhang and Michael Q. Zhang -- Computational immunology : HLA-peptide binding prediction / Pandjassarame Kangueane, Bing Zhao and Meena K. Sakharkar -- Bioinformatics application : eukaryotic gene count and evolution / Meena K. Sakharkar and Pandjassarame Kangueane -- Bioinformatics application : predicting protein subcellular localization by applying machine learning / Pingzhao Hu [and others] -- Bioinformatics analysis : gene fusion / Meena Kishore Sakharkar, Yiting Yu and Pandjassarame Kangueane
N2  -  	 "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."--Jacket.
ER  -