Bioinformatics: Advanced Topics » książka
Bioinformatics: Advanced Topics
ISBN-13: 9781632390974 / Angielski / Twarda / 2015 / 190 str.
The science of compiling and studying complex biological data, such as genetic codes, is referred to as bioinformatics. This book extensively covers topics related to bioinformatics. It includes a wide variety of topics such as unraveling genetic determinants of complex disorders, functional characterization of inherently unfolded proteins/regions and database resources for protein allergens. It also elaborates topics like protein interaction networks, flexible protein-protein docking and classification and prediction of regulatory motifs. There has also been emphasis on computational means for determining best classifiers and key disease genes in large-scale transcriptomic and proteomic experiments. Computational algorithms have been explained in an easy-to-grasp manner for graduate and undergraduate students apart from researchers studying molecular biology and genetics. The book aims to assist biostatisticians, computational scientists and mathematicians in their academic and research activities in the field of bioinformatics.
The science of compiling and studying complex biological data, such as genetic codes, is referred to as bioinformatics. This book extensively covers topics related to bioinformatics. It includes a wide variety of topics such as unraveling genetic determinants of complex disorders, functional characterization of inherently unfolded proteins/regions and database resources for protein allergens. It also elaborates topics like protein interaction networks, flexible protein-protein docking and classification and prediction of regulatory motifs. There has also been emphasis on computational means for determining best classifiers and key disease genes in large-scale transcriptomic and proteomic experiments. Computational algorithms have been explained in an easy-to-grasp manner for graduate and undergraduate students apart from researchers studying molecular biology and genetics. The book aims to assist biostatisticians, computational scientists and mathematicians in their academic and research activities in the field of bioinformatics.
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