Hasil Pencarian - Martin Kircher
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HemoMIPs-Automated analysis and result reporting pipeline for targeted sequencing data. oleh Philip Kleinert, Beth Martin, Martin Kircher
Diterbitkan 2020-06-01Dapatkan teks lengkap
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The impact of different negative training data on regulatory sequence predictions. oleh Louisa-Marie Krützfeldt, Max Schubach, Martin Kircher
Diterbitkan 2020-01-01Dapatkan teks lengkap
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CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores oleh Philipp Rentzsch, Max Schubach, Jay Shendure, Martin Kircher
Diterbitkan 2021-02-01Dapatkan teks lengkap
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Concurrent genome and epigenome editing by CRISPR-mediated sequence replacement oleh Jes Alexander, Gregory M. Findlay, Martin Kircher, Jay Shendure
Diterbitkan 2019-11-01Dapatkan teks lengkap
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Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques oleh Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
Diterbitkan 2022-12-01Dapatkan teks lengkap
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Saturation mutagenesis of twenty disease-associated regulatory elements at single base-pair resolution oleh Martin Kircher, Chenling Xiong, Beth Martin, Max Schubach, Fumitaka Inoue, Robert J. A. Bell, Joseph F. Costello, Jay Shendure, Nadav Ahituv
Diterbitkan 2019-08-01Dapatkan teks lengkap
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Novel approach to genetic analysis and results in 3000 hemophilia patients enrolled in the My Life, Our Future initiative oleh Jill M. Johnsen, Shelley N. Fletcher, Haley Huston, Sarah Roberge, Beth K. Martin, Martin Kircher, Neil C. Josephson, Jay Shendure, Sarah Ruuska, Marion A. Koerper, Jaime Morales, Glenn F. Pierce, Diane J. Aschman, Barbara A. Konkle
Diterbitkan 2017-05-01Dapatkan teks lengkap
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