Welcome to Central Library, SUST

Statistical analysis of quantiative genetics / (Record no. 59314)

MARC details
000 -LEADER
fixed length control field 02042nam a22003017a 4500
001 - CONTROL NUMBER
control field sulb0056979
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160515162718.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160515s2013 ii a b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 8122420397
040 ## - CATALOGING SOURCE
Original cataloging agency BD-SySUS
Transcribing agency BD-SySUS
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 581.35
Edition number 22
Item number AGS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Agarwal, B. L.
9 (RLIN) 22292
245 10 - TITLE STATEMENT
Title Statistical analysis of quantiative genetics /
Statement of responsibility, etc. B. L. Agarwal,
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New Delhi :
Name of publisher, distributor, etc. New Age International.
Date of publication, distribution, etc. c2007.
300 ## - PHYSICAL DESCRIPTION
Extent viii, 243 p. :
Other physical details ills. ;
Dimensions 28 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Include bibliography and index.
520 ## - SUMMARY, ETC.
Summary, etc. Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle to the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data. Resourceful and easy to use, Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Life sciences.
9 (RLIN) 22383
Topical term or geographic name as entry element Plant genetics.
9 (RLIN) 21379
Topical term or geographic name as entry element Animal genetics.
9 (RLIN) 22384
Topical term or geographic name as entry element Life Sciences.
9 (RLIN) 22385
Topical term or geographic name as entry element Plant Genetics & Genomics.
9 (RLIN) 22386
Topical term or geographic name as entry element Animal Genetics and Genomics.
9 (RLIN) 22387
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780387708065
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from
    Dewey Decimal Classification     Central Library, SUST Seminar Library, Department of Genetic Engineering & Biotechnology General Stacks 15/05/2016   581.35 AGS 0056979 15/05/2016 1 15/05/2016