Correlation-based network analysis of cancer metabolism A new systems biology approach in metabolomics /

With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literatu...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Armitage, Emily G. (Συγγραφέας), Kotze, Helen L. (Συγγραφέας), Williams, Kaye J. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
Σειρά:SpringerBriefs in Systems Biology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02935nam a22005175i 4500
001 978-1-4939-0615-4
003 DE-He213
005 20151030031151.0
007 cr nn 008mamaa
008 140512s2014 xxu| s |||| 0|eng d
020 |a 9781493906154  |9 978-1-4939-0615-4 
024 7 |a 10.1007/978-1-4939-0615-4  |2 doi 
040 |d GrThAP 
050 4 |a QH301-705 
072 7 |a PSA  |2 bicssc 
072 7 |a SCI086000  |2 bisacsh 
072 7 |a SCI064000  |2 bisacsh 
082 0 4 |a 570  |2 23 
100 1 |a Armitage, Emily G.  |e author. 
245 1 0 |a Correlation-based network analysis of cancer metabolism  |h [electronic resource] :  |b A new systems biology approach in metabolomics /  |c by Emily G. Armitage, Helen L. Kotze, Kaye J. Williams. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a VI, 61 p. 20 illus., 13 illus. in color.  |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 
490 1 |a SpringerBriefs in Systems Biology,  |x 2193-4746 
505 0 |a An overview of Cancer metabolism -- Cancer hypoxia and the tumour microenvironment as effectors of cancer metabolism -- Metabolic fingerprinting of in vitro cancer cell samples -- Network-based correlation analysis of metabolic fingerprinting data -- Case study: Systems biology of HIF metabolism in cancer -- Case study: Systems biology of chemotherapy resistance in hypoxic cancer -- Index. 
520 |a With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases. 
650 0 |a Life sciences. 
650 0 |a Cancer research. 
650 0 |a Systems biology. 
650 0 |a Metabolism. 
650 1 4 |a Life Sciences. 
650 2 4 |a Systems Biology. 
650 2 4 |a Metabolomics. 
650 2 4 |a Cancer Research. 
700 1 |a Kotze, Helen L.  |e author. 
700 1 |a Williams, Kaye J.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781493906147 
830 0 |a SpringerBriefs in Systems Biology,  |x 2193-4746 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4939-0615-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBL 
950 |a Biomedical and Life Sciences (Springer-11642)