Bioinformatics: Advanced Topics. Este artículo no está disponible.
Idioma: inglés
Editorial: CALLISTO REFERENCE, 2015
- Tapa dura
- Nuevo

Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Vendedor de IberLibro desde 25 de marzo de 2015
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EUR 79,37
Descripción del artículo del vendedor
In English.
N° de ref. del artículo ria9781632390974_new
- Título
- Bioinformatics: Advanced Topics
- Editorial
- CALLISTO REFERENCE
- Año de publicación
- 2015
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 1632390973
- ISBN 13
- 9781632390974
- Peso del artículo
- 547 gramos
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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Reseña del editor
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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