Borrajo J, Javanmardi K, Griffin J, et al. Programmable multi-kilobase RNA editing using CRISPR-mediated trans-splicing. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.18.553620
Publications
Georgakis MK, Malik R, Hasbani NR, et al. Carriers of rare damaging genetic variants are at lower risk of atherosclerotic disease. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.08.14.23294063
Parada-Kusz M, Clatworthy AE, Goering ER, et al. A tryptophan metabolite modulates the host response to bacterial infection via kainate receptors. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.16.553532
Westergaard D, Steinthorsdottir V, Stefansdottir L, et al. Pregnancy-Associated Bleeding and Genetics: Five Sequence Variants in the Myometrium and Progesterone Signaling Pathway are associated with postpartum hemorrhage. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.08.10.23293932
Truex NL, Mohapatra S, Melo M, et al. Design of Cytotoxic T Cell Epitopes by Machine Learning of Human Degrons. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.22.554289
Pirruccello JP, Khurshid S, Lin H, et al. AORTA Gene: Polygenic prediction improves detection of thoracic aortic aneurysm. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.08.23.23294513
Cunningham JW, Singh P, Reeder C, et al. Natural Language Processing for Adjudication of Heart Failure Hospitalizations in a Multi-Center Clinical Trial. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.08.17.23294234
Levine ZC, Sene A, Mkandawire W, et al. Improving diagnosis of non-malarial fevers in Senegal: and the contribution of tick-borne bacteria. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.08.24.23294564
Villamor-Payà M, Sanchiz-Calvo M, Smak J, et al. Identification of a mutation in associated with a neurodevelopmental disorder and immunodeficiency. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.08.22.23294267
Zhang D, Gao B, Feng Q, et al. Proteome-Wide Association Studies for Blood Lipids and Comparison with Transcriptome-Wide Association Studies. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.17.553749