Fr. 52.50

Genetic Mapping in Experimental Populations

English · Paperback / Softback

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Informationen zum Autor Dr J .W. (Johan) Van Ooijen has worked in the field of genetic linkage analysis for more than 20 years. He developed the QTL analysis software MapQTL® and was also involved in the development of JoinMap®, Piet Stam's genetic linkage mapping software. He continues the development of both software packages in his company, Kyazma B.V., and regularly teaches courses on genetic mapping and QTL analysis. Dr J. (Hans) Jansen is a senior member of the Biometris group at Wageningen University and Research Centre. He is involved in research projects on various applications of molecular markers, including genetic diversity studies, the construction of genetic linkage maps, and QTL analysis involving multiple pedigree-related populations. Klappentext A concise introduction to genetic linkage map construction for biological researchers, combining theory with practical exercises and problem-solving tips. Zusammenfassung This concise introduction to genetic mapping in diploid species teaches the theory behind map construction! explains the computations involved at each stage! and provides exercises and problem-solving tips. It will enable graduate students and researchers in the life sciences to employ methods effectively and to achieve more reliable results. Inhaltsverzeichnis Preface; 1. Introduction; 2. Meiosis and genetic recombination; 3. Estimation of recombination frequencies; 4. Determination of linkage groups; 5. Estimation of a genetic map; 6. Criteria for the evaluation of maps; 7. How to find the best map order; 8. Outbreeding species; 9. Mapping in practice; References; Answers to exercises; Index.

Product details

Authors J. Jansen, Jansen J., J. W. van Ooijen, J. W. Van Jansen Ooijen, J. W. Van Ooijen
Publisher Cambridge University Press ELT
 
Languages English
Product format Paperback / Softback
Released 08.08.2013
 
EAN 9781107601031
ISBN 978-1-107-60103-1
No. of pages 167
Subjects Natural sciences, medicine, IT, technology > Biology > Genetics, genetic engineering

SCIENCE / Life Sciences / Genetics & Genomics, biotechnology, Probability & statistics, Genetics (non-medical)

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