Advances in statistical bioinformatics : (Record no. 584232)

MARC details
000 -LEADER
fixed length control field 02657cam a2200241 i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107027527 (hardback)
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.802
Item number DOK.A
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Do, Kim-Anh
245 00 - TITLE STATEMENT
Title Advances in statistical bioinformatics :
Remainder of title models and integrative inference for high-throughput data /
Statement of responsibility, etc. edited by Kim-Anh Do, The University of Texas M.D. Anderson Cancer Center, Zhaohui Steven Qin, Emory University, Atlanta, GA, Marina Vannucci, Rice University, Houston, TX.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. [Cambridge, England] :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. c2013.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 481 pages :
Other physical details illustrations (some color) ;
500 ## - GENERAL NOTE
General note This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Chapter 1 An introduction to next-generation biological platforms Virginia Mohlere, Wenting Wang, and Ganiraju Manyam The University of Texas. MD Anderson Cancer Center 1.1 Introduction When Sanger and Coulson first described a reliable, efficient method for DNA sequencing in 1975 (Sanger and Coulson, 1975), they made possible the full sequencing of both genes and entire genomes. Although the method was resource-intensive, many institutions invested in the necessary equipment, and Sanger sequencing remained the standard for the next 30 years. Refinement of the process increased read lengths from around 25 to 2 Mohlere, Wang, and Manyam almost 750 base pairs (Schadt et al., 2010, fig. 1). While this greatly increased efficiency and reliability, the Sanger method still required not only large equipment but significant human investment, as the process requires the work of several people. This prompted researchers and companies such as Applied Biosystems to seek improved sequencing techniques and instruments. Starting in the late 2000s, new instruments came on the market that, although they actually decreased read length, lessened run time and could be operated more easily with fewer human resources (Schadt et al., 2010). Despite discoveries that have illuminated new therapeutic targets, clarified the role of specific mutations in clinical response, and yielded new methods for diagnosis and predicting prognosis (Chin et al., 2011), the initial promise of genomic data has largely remained so far unfulfilled. The difficulties are numerous"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bioinformatics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biometry.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Genetics
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MEDICAL / Biostatistics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Qin, Steven,
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vannucci, Marina,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        IUCEIB Library, University of Kerala IUCEIB Library, University of Kerala General Stacks 02/07/2021   572.802 DOK.A CEB245 07/01/2022 02/07/2021 Book