Venkatarajan Mathura, Pandjassarame Kangueane's Bioinformatics: A Concept-Based Introduction PDF

By Venkatarajan Mathura, Pandjassarame Kangueane

ISBN-10: 038784869X

ISBN-13: 9780387848693

Bioinformatics is an evolving box that's becoming more popular as a result of genomics, proteomics and different high-throughput organic equipment. The functionality of bioinformatic scientists contains organic information garage, retrieval and in silico research of the consequences from large-scale experiments. This calls for a seize of information mining algorithms, an intensive knowing of organic wisdom base, and the logical dating of entities that describe a technique or the procedure. Bioinformatics researchers are required to study in multidisciplinary fields of biology, arithmetic and desktop technology. at the moment the necessities are happy by means of advert hoc researchers who've particular talents in biology or mathematics/computer technological know-how. however the studying curve is steep and the time required to speak utilizing area particular phrases is turning into a huge bottle neck in clinical productiveness. This workbook presents hands-on event which has been missing for certified bioinformatics researchers.

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C. (2005). Pattern recognition methods for protein functional site prediction, Curr Protein Pept Sci 6, 479–91. , and Li, Y. (2006). Predicting rRNA-, RNA-, and DNAbinding proteins from primary structure with support vector machines, J Theor Biol 240, 175–84. Chapter 4 Biological Sequence Databases Meena Sakharkar 1, Pandjassarame Kangueane 2, and Venkatarajan S. Mathura 3 1 Nanyang Technological University, Singapore Biomedical Informatics, Pondicherry, India 3 Roskamp Institute, 2040 Whitfield Avenue, Sarasota, Florida, USA 2 Abstract: Biological data available today surpasses information content in several fields.

Y. (2002). Variable selection and pattern recognition with gene expression data generated by the microarray technology, Math Biosci 176, 71–98. Taguchi, Y. , and Oono, Y. (2005). Relational patterns of gene expression via non-metric multidimensional scaling analysis, Bioinformatics 21, 730–40. , and Hoeschele, I. (1996). The use of multiple markers in a Bayesian method for mapping quantitative trait loci, Genetics 143, 1831–42. Valafar, F. (2002). Pattern recognition techniques in microarray data analysis: a survey, Ann N Y Acad Sci 980, 41–64.

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Bioinformatics: A Concept-Based Introduction by Venkatarajan Mathura, Pandjassarame Kangueane

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