Hartl, Christopher

From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline

Van der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics

Genomics and Phylogenetic StudiesGenomics and Rare Diseases

Cited by 6,687

The genetic architecture of type 2 diabetes

Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,051

Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism

Parikshak, N. N., Swarup, V., Belgard, T. G., Irimia, M., Ramaswami, G., Gandal, M. J., Hartl, C., Leppa, V., Ubieta, L. D. L. T., Huang, J., et al. (2016) · Nature

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 685

Genetic control of expression and splicing in developing human brain informs disease mechanisms

Walker, R. L., Ramaswami, G., Hartl, C., Mancuso, N., Gandal, M. J., de la Torre-Ubieta, L., Pasaniuc, B., Stein, J. L., & Geschwind, D. H. (2020) · Cell

Genetic Associations and EpidemiologyRNA Research and Splicing

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