Sarah Rennie

Sarah Rennie

Assistant Professor


Publication year:
  1. 2021
  2. Published

    Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

    Grapotte, M., Saraswat, M., Bessière, C., Menichelli, C., Ramilowski, J. A., Severin, J., Hayashizaki, Y., Itoh, M., Tagami, M., Murata, M., Kojima-Ishiyama, M., Noma, S., Noguchi, S., Kasukawa, T., Hasegawa, A., Suzuki, H., Nishiyori-Sueki, H., Frith, M. C., Abugessaisa, I., Aitken, S. & 31 others, Aken, B. L., Alam, I., Alam, T., Alasiri, R., Alhendi, A. M. N., Alinejad-Rokny, H., Alvarez, M. J., Andersson, Robin, Arakawa, T., Araki, M., Arbel, T., Lange, Jette Bornholdt, Boyd, M., Chen, Y., Coskun, M., Dalby, M., Ienasescu, H., Jørgensen, M., Kaczkowski, B., Kere, J., Li, K., Lilje, B., Nepal, C., Nguyen, Q. H., Nielsen, L. K., Rennie, Sarah, Sandelin, Albin Gustav, Valen, E., Vitezic, M., Vitting-Seerup, K. & FANTOM Consortium, F. C., 2021, In: Nature Communications. 12, 18 p., 3297.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Principles of mRNA targeting via the Arabidopsis m6A-binding protein ECT2

    Arribas Hernandez, Laura, Rennie, Sarah, Köster, T., Porcelli, C., Lewinski, M., Staiger, D., Andersson, Robin & Brodersen, Peter, 2021, In: eLife. 10, 33 p., e72375.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    The YTHDF proteins ECT2 and ECT3 bind largely overlapping target sets and influence target mRNA abundance, not alternative polyadenylation

    Arribas Hernandez, Laura, Rennie, Sarah, Schon, M., Porcelli, C., Enugutti, B., Andersson, Robin, Nodine, M. D. & Brodersen, Peter, 2021, In: eLife. 10, 27 p., e72377.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    hyperTRIBER: a flexible R package for the analysis of differential RNA editing

    Rennie, Sarah, Magnusson, D. H. & Andersson, Robin, 2021, 12 p.

    Research output: Working paperPreprintResearch

ID: 143262591