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Martin W. Ganal

Researcher at Leibniz Institute for Neurobiology

Publications -  133
Citations -  22434

Martin W. Ganal is an academic researcher from Leibniz Institute for Neurobiology. The author has contributed to research in topics: Population & Gene mapping. The author has an hindex of 64, co-authored 130 publications receiving 20853 citations. Previous affiliations of Martin W. Ganal include Technion – Israel Institute of Technology & Cornell University.

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A microsatellite map of wheat.

TL;DR: The isolation of microsatellite-containing clones from hypomethylated regions of the wheat genome increased the proportion of useful markers almost twofold and the development of highly polymorphic micros Satellite markers using procedures optimized for the large wheat genome is reported.
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High density molecular linkage maps of the tomato and potato genomes.

TL;DR: Currently tomato and potato are among the most thoroughly mapped eukaryotic species and the availability of high density molecular linkage maps should facilitate chromosome walking, quantitative trait mapping, marker-assisted breeding and evolutionary studies in these two important and well studied crop species.
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Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array

TL;DR: The developed array and cluster identification algorithms provide an opportunity to infer detailed haplotype structure in polyploid wheat and will serve as an invaluable resource for diversity studies and investigating the genetic basis of trait variation in wheat.
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Map-based cloning of a protein kinase gene conferring disease resistance in tomato

TL;DR: A yeast artificial chromosome clone that spans the Pto region was identified and used to probe a leaf complementary DNA (cDNA) library, suggesting a role for Pto in a signal transduction pathway.
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Abundance, variability and chromosomal location of microsatellites in wheat.

TL;DR: It was found that wheat microsatellites are relatively long containing up to 40 dinucleotide repeats, and more variation was detected with the micros satellite markers than with RFLP markers with, on average, 4.6 different alleles per microsatellite.