Computational solutions to large-scale data management and analysis von Schadt, Eric E, Linderman, Michael D, Sorenson, Jon, Lee, Lawrence, Nolan, Garry P

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Motivations, concerns and preferences of personal genome sequencing research participants: Baseline findings from the HealthSeq project von Sanderson, Saskia C, Linderman, Michael D, Suckiel, Sabrina A, Diaz, George A, Zinberg, Randi E, Ferryman, Kadija, Wasserstein, Melissa, Kasarskis, Andrew, Schadt, Eric E

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DECA: scalable XHMM exome copy-number variant calling with ADAM and Apache Spark von Linderman, Michael D, Chia, Davin, Wallace, Forrest, Nothaft, Frank A

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Analytical validation of whole exome and whole genome sequencing for clinical applications von Linderman, Michael D, Brandt, Tracy, Edelmann, Lisa, Jabado, Omar, Kasai, Yumi, Kornreich, Ruth, Mahajan, Milind, Shah, Hardik, Kasarskis, Andrew, Schadt, Eric E

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Predispositional genome sequencing in healthy adults: design, participant characteristics, and early outcomes of the PeopleSeq Consortium von Zoltick, Emilie S, Linderman, Michael D, McGinniss, Molly A, Ramos, Erica, Ball, Madeleine P, Church, George M, Leonard, Debra G B, Pereira, Stacey, McGuire, Amy L, Caskey, C Thomas, Sanderson, Saskia C, Schadt, Eric E, Nielsen, Daiva E, Crawford, Scott D, Green, Robert C

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MySeq: privacy-protecting browser-based personal Genome analysis for genomics education and exploration von Linderman, Michael D, McElroy, Leo, Chang, Laura

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Development and Validation of a Comprehensive Genomics Knowledge Scale von Linderman, Michael D., Suckiel, Sabrina A., Thompson, Nathan, Weiss, David J., Roberts, J. Scott, Green, Robert C.

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Impacts of incorporating personal genome sequencing into graduate genomics education: a longitudinal study over three course years von Linderman, Michael D, Sanderson, Saskia C, Bashir, Ali, Diaz, George A, Kasarskis, Andrew, Zinberg, Randi, Mahajan, Milind, Suckiel, Sabrina A, Zweig, Micol, Schadt, Eric E

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Genome-wide association analysis of red blood cell traits in African Americans: the COGENT Network von Chen, Zhao, Tang, Hua, Qayyum, Rehan, Schick, Ursula M, Nalls, Michael A, Handsaker, Robert, Li, Jin, Lu, Yingchang, Yanek, Lisa R, Keating, Brendan, Meng, Yan, van Rooij, Frank J A, Okada, Yukinori, Kubo, Michiaki, Rasmussen-Torvik, Laura, Keller, Margaux F, Lange, Leslie, Evans, Michele, Bottinger, Erwin P, Linderman, Michael D, Ruderfer, Douglas M, Hakonarson, Hakon, Papanicolaou, George, Zonderman, Alan B, Gottesman, Omri, Thomson, Cynthia, Ziv, Elad, Singleton, Andrew B, Loos, Ruth J F, Sleiman, Patrick M A, Ganesh, Santhi, McCarroll, Steven, Becker, Diane M, Wilson, James G, Lettre, Guillaume, Reiner, Alexander P

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Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE von Qiu, Peng, Simonds, Erin F, Bendall, Sean C, Gibbs, Kenneth D, Bruggner, Robert V, Linderman, Michael D, Sachs, Karen, Nolan, Garry P, Plevritis, Sylvia K

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NPSV-deep: a deep learning method for genotyping structural variants in short read genome sequencing data von Linderman, Michael D, Wallace, Jacob, van der Heyde, Alderik, Wieman, Eliza, Brey, Daniel, Shi, Yiran, Hansen, Peter, Shamsi, Zahra, Liu, Jeremiah, Gelb, Bruce D, Bashir, Ali

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Psychological and behavioural impact of returning personal results from whole-genome sequencing: the HealthSeq project von Sanderson, Saskia C, Linderman, Michael D, Suckiel, Sabrina A, Zinberg, Randi, Wasserstein, Melissa, Kasarskis, Andrew, Diaz, George A, Schadt, Eric E

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Cloud and heterogeneous computing solutions exist today for the emerging big data problems in biology von Schadt, Eric E, Linderman, Michael D, Sorenson, Jon, Lee, Lawrence, Nolan, Garry P

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NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing data von Linderman, Michael D, Paudyal, Crystal, Shakeel, Musab, Kelley, William, Bashir, Ali, Gelb, Bruce D

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Personal Genome Sequencing in Ostensibly Healthy Individuals and the PeopleSeq Consortium von Linderman, Michael D, Nielsen, Daiva E, Green, Robert C

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How do students react to analyzing their own genomes in a whole-genome sequencing course?: outcomes of a longitudinal cohort study von Sanderson, Saskia C., Linderman, Michael D., Zinberg, Randi, Bashir, Ali, Kasarskis, Andrew, Zweig, Micol, Suckiel, Sabrina, Shah, Hardik, Mahajan, Milind, Diaz, George A., Schadt, Eric E.

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Novel, Compound Heterozygous, Single-Nucleotide Variants in MARS2 Associated with Developmental Delay, Poor Growth, and Sensorineural Hearing Loss von Webb, Bryn D., Wheeler, Patricia G., Hagen, Jacob J., Cohen, Ninette, Linderman, Michael D., Diaz, George A., Naidich, Thomas P., Rodenburg, Richard J., Houten, Sander M., Schadt, Eric E.

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CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data von LINDERMANL, Michael D, BJORNSON, Zach, SIMONDS, Erin F, PENG OIU, BRUGGNER, Robert V, SHEODE, Ketaki, MENG, Teresa H, PLEVRITIS, Sylvia K, NOLAN, Garry P

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Motivations, concerns and preferences of personal genome sequencing research participants: Baseline findings from the HealthSeq project von Sanderson, Saskia C, Linderman, Michael D, Suckiel, Sabrina A, Diaz, George A, Zinberg, Randi E, Ferryman, Kadija, Wasserstein, Melissa, Kasarskis, Andrew, Schadt, Eric E

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Concordance between Research Sequencing and Clinical Pharmacogenetic Genotyping in the eMERGE-PGx Study von Rasmussen-Torvik, Laura J, Almoguera, Berta, Doheny, Kimberly F, Freimuth, Robert R, Gordon, Adam S, Hakonarson, Hakon, Hawkins, Jared B, Husami, Ammar, Ivacic, Lynn C, Kullo, Iftikhar J, Linderman, Michael D, Manolio, Teri A, Obeng, Aniwaa Owusu, Pellegrino, Renata, Prows, Cynthia A, Ritchie, Marylyn D, Smith, Maureen E, Stallings, Sarah C, Wolf, Wendy A, Zhang, Kejian, Scott, Stuart A

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