Cargando…

Functional Coherence of Molecular Networks in Bioinformatics

A fundamental problem in life sciences is the characterization of biological function. In medical sciences, understanding the bases of functional anomalies holds the key to effective diagnosis, treatment,  and prognosis; in genetics, functional annotation of genetic variability uncovers the complex...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Koyutürk, Mehmet (Editor ), Subramaniam, Shankar (Editor ), Grama, Ananth (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4614-0320-3
003 DE-He213
005 20220115224032.0
007 cr nn 008mamaa
008 110921s2012 xxu| s |||| 0|eng d
020 |a 9781461403203  |9 978-1-4614-0320-3 
024 7 |a 10.1007/978-1-4614-0320-3  |2 doi 
050 4 |a QH324.2-324.25 
072 7 |a PS  |2 bicssc 
072 7 |a UY  |2 bicssc 
072 7 |a SCI086000  |2 bisacsh 
072 7 |a PSAX  |2 thema 
082 0 4 |a 570.285  |2 23 
082 0 4 |a 570.113  |2 23 
245 1 0 |a Functional Coherence of Molecular Networks in Bioinformatics  |h [electronic resource] /  |c edited by Mehmet Koyutürk, Shankar Subramaniam, Ananth Grama. 
250 |a 1st ed. 2012. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2012. 
300 |a X, 228 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction to Network Biology -- Topological Characteristics of Molecular Networks -- Functional Annotation in Gene Networks -- Proteome Network Emulating Models -- Biological Network Alignment -- Pattern Mining across many Massive Biological Networks -- Molecular Networks and Complex Diseases -- Moving Towards Genome-Scale Kinetic Models: The Mass Action Stoichiometric Simulation Approach -- Index. 
520 |a A fundamental problem in life sciences is the characterization of biological function. In medical sciences, understanding the bases of functional anomalies holds the key to effective diagnosis, treatment,  and prognosis; in genetics, functional annotation of genetic variability uncovers the complex relationship between genotype and phenotype; in evolutionary biology, functional differences between diverse organisms highlight the evolutionary mechanisms that underlie the complexity of biological systems. With the successful completion of the human genome project and recent technological advances in biological data collection, it has become possible to study biological function from a systems perspective. Today, Systems Biology is established as a fundamental interdisciplinary science, which focuses on systematic study of the complex mechanisms that orchestrate the cooperation between diverse molecules that compose life. In the study of biological systems, the complex interactions between biomolecules are often abstracted using network models. Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks provides the basis for systems level analysis of biological function. Research and method development for such analyses has grown tremendously in the past few years. This volume provides a detailed overview of existing knowledge on the functional characterization of biological networks. In eight chapters authored by an international group of systems biology and bioinformatics researchers, functional coherence of molecular networks is comprehensively explored from various perspectives, including network topology, modularity, functional inference, evolution, phenotype, disease, network dynamics, and molecular kinetics. 
650 0 |a Bioinformatics. 
650 0 |a Computer science. 
650 0 |a Biomedical engineering. 
650 1 4 |a Computational and Systems Biology. 
650 2 4 |a Computer Science. 
650 2 4 |a Biomedical Engineering and Bioengineering. 
700 1 |a Koyutürk, Mehmet.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Subramaniam, Shankar.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Grama, Ananth.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781461403197 
776 0 8 |i Printed edition:  |z 9781489996404 
776 0 8 |i Printed edition:  |z 9781461403210 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4614-0320-3  |z Texto Completo 
912 |a ZDB-2-SBL 
912 |a ZDB-2-SXB 
950 |a Biomedical and Life Sciences (SpringerNature-11642) 
950 |a Biomedical and Life Sciences (R0) (SpringerNature-43708)