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عنوان
Advances in statistical bioinformatics :

پدید آورنده
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

موضوع
Bioinformatics-- Statistical methods,Biometry,Genetics-- Technique

رده
QH324
.
2
.
A395
2013

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1107027527 (hardback)
(Number (ISBN
9781107027527 (hardback)

NATIONAL BIBLIOGRAPHY NUMBER

Number
dltt

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Advances in statistical bioinformatics :
General Material Designation
[Book]
Other Title Information
models and integrative inference for high-throughput data /
First Statement of Responsibility
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

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xv, 481 pages, 16 unnumbered pages of plates :
Other Physical Details
illustrations (some color) ;
Dimensions
24 cm

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index

SUMMARY OR ABSTRACT

Text of Note
"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"--

TOPICAL NAME USED AS SUBJECT

Bioinformatics-- Statistical methods
Biometry
Genetics-- Technique

DEWEY DECIMAL CLASSIFICATION

Number
572
.
80285
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QH324
.
2
Book number
.
A395
2013

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Do, Kim-Anh,1960-
Qin, Steven,1972-
Vannucci, Marina,1966-

ORIGINATING SOURCE

Date of Transaction
20141128225518.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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