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Statistical methods for QTL mapping / Zehua Chen.

By: Material type: TextTextSeries: Chapman & Hall/CRC mathematical and computational biology seriesPublication details: Boca Raton : CRC Press, c2014.Description: xix, 288 p. : illustrations ; 24 cmISBN:
  • 9781439868300 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 000SB:572.8633 23 C518
Contents:
1. Biological Background -- 2. Selected Topics in Statistics -- 3. Quantitative Genetics and General Issues on QTL Mapping -- 4. One-Dimensional Mapping Approaches -- 5. Multiple Interval Mapping -- 6. QTL Mapping with Dense Markers -- 7. Bayesian Approach to QTL Mapping -- 8. Multi-Trait QTL Mapping and eQTL Mapping -- Bibliography -- Index.
Summary: While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to us.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SB:572.8633 C518 (Browse shelf(Opens below)) Available 136535
Total holds: 0

Includes bibliographical references and index.

1. Biological Background --
2. Selected Topics in Statistics --
3. Quantitative Genetics and General Issues on QTL Mapping --
4. One-Dimensional Mapping Approaches --
5. Multiple Interval Mapping --
6. QTL Mapping with Dense Markers --
7. Bayesian Approach to QTL Mapping --
8. Multi-Trait QTL Mapping and eQTL Mapping --
Bibliography --
Index.

While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to us.

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