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Biomedical Informatics for Cancer Research (Record no. 19196)

000 -LEADER
fixed length control field 04323nam a22005175i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310150639.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100427s2010 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441957146
978-1-4419-5714-6
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R858-859.7
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 502.85
Edition number 23
264 #1 -
-- Boston, MA :
-- Springer US :
-- Imprint: Springer,
-- 2010.
912 ## -
-- ZDB-2-SME
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ochs, Michael F.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Biomedical Informatics for Cancer Research
Medium [electronic resource] /
Statement of responsibility, etc edited by Michael F. Ochs, John T. Casagrande, Ramana V. Davuluri.
250 ## - EDITION STATEMENT
Edition statement 1.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 354p. 57 illus., 37 illus. in color.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Concepts, Issues, and Approaches -- Biomedical Informatics for Cancer Research: Introduction -- Clinical Research Systems and Integration with Medical Systems -- Data Management, Databases, and Warehousing -- Middleware Architecture Approaches for Collaborative Cancer Research -- Federated Authentication -- Genomics Data Analysis Pipelines -- Mathematical Modeling in Cancer -- Reproducible Research Concepts and Tools for Cancer Bioinformatics -- The Cancer Biomedical Informatics Grid (caBIG‚): An Evolving Community for Cancer Research -- Tools and Applications -- The caBIG‚ Clinical Trials Suite -- The CAISIS Research Data System -- A Common Application Framework that is Extensible: CAF-É -- Shared Resource Management -- The caBIG® Life Sciences Distribution -- MeV: MultiExperiment Viewer -- Authentication and Authorization in Cancer Research Systems -- Caching and Visualizing Statistical Analyses -- Familial Cancer Risk Assessment Using BayesMendel -- Interpreting and Comparing Clustering Experiments Through Graph Visualization and Ontology Statistical Enrichment with the ClutrFree Package -- Enhanced Dynamic Documents for Reproducible Research.
520 ## - SUMMARY, ETC.
Summary, etc In the past two decades, the large investment in cancer research led to identification of the complementary roles of genetic mutation and epigenetic change as the fundamental drivers of cancer. With these discoveries, we now recognize the deep heterogeneity in cancer, in which phenotypically similar behaviors in tumors arise from different molecular aberrations. Although most tumors contain many mutations, only a few mutated genes drive carcinogenesis. For cancer treatment, we must identify and target only the deleterious subset of aberrant proteins from these mutated genes to maximize efficacy while minimizing harmful side effects. Together, these observations dictate that next-generation treatments for cancer will become highly individualized, focusing on the specific set of aberrant driver proteins identified in a tumor. This drives a need for informatics in cancer research and treatment far beyond the need in other diseases. For each individual cancer, we must find the molecular aberrations, identify those that are deleterious in the specific tumor, design and computationally model treatments that target the set of aberrant proteins, track the effectiveness of these treatments, and monitor the overall health of the individual. This must be done efficiently in order to generate appropriate treatment plans in a cost effective manner. State-of-the-art techniques to address many of these needs are being developed in biomedical informatics and are the focus of this volume.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicine.
Topical term or geographic name as entry element Oncology.
Topical term or geographic name as entry element Medical records
General subdivision Data processing.
Topical term or geographic name as entry element Bioinformatics.
Topical term or geographic name as entry element Science (General).
Topical term or geographic name as entry element Medicine & Public Health.
Topical term or geographic name as entry element Health Informatics.
Topical term or geographic name as entry element Popular Science, general.
Topical term or geographic name as entry element Cancer Research.
Topical term or geographic name as entry element Molecular Medicine.
Topical term or geographic name as entry element Oncology.
Topical term or geographic name as entry element Bioinformatics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Casagrande, John T.
Relator term editor.
Personal name Davuluri, Ramana V.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441957122
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-5714-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-05AUM Main Library2014-04-05 2014-04-05 E-Book   AUM Main Library502.85

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