Data for "The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology"
Vicoso B. 2017. Data for ‘The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:78.
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This folder contains all the data used in each of the main figures of "The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology" (Kelemen, R., Vicoso, B.), as well as in the supplementary figures.
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Date Published
2017-11-06
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Institute of Science and Technology Austria
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Vicoso B. Data for “The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology.” 2017. doi:10.15479/AT:ISTA:78
Vicoso, B. (2017). Data for “The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:78
Vicoso, Beatriz. “Data for ‘The Genomic Characterization of the t-Haplotype, a Mouse Meiotic Driver, Highlights Its Complex History and Specialized Biology.’” Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:78.
B. Vicoso, “Data for ‘The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology.’” Institute of Science and Technology Austria, 2017.
Vicoso B. 2017. Data for ‘The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:78.
Vicoso, Beatriz. Data for “The Genomic Characterization of the t-Haplotype, a Mouse Meiotic Driver, Highlights Its Complex History and Specialized Biology.” Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:78.
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IST-2017-78-v1+1_Data.zip
143.70 MB
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Open Access
Date Uploaded
2018-12-12
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4520eb2b8379417ee916995719158f16
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Research Paper