PreLight Posts
preLights is the preprint highlights service run by the biological community and supported by The Company of Biologists. As a preLighter, I select, highlight and comment on preprints that I feel are of particular interest to the biological community. You’ll find a summary of each preprint, the reasons it was selected and my thoughts on its significance alongside comments from the preprints’s authors addressing the questions I have raised.I’d really welcome you to check out my preLight post and make sure to leave your thoughts and comments. You can find a complete list of my preLight posts on my preLights profile.
Preprints I featured as a PreLight
2024
Iva Veseli, Zachary S. Cooper, Michelle A. DeMers, et al. Digital Microbe: A Genome-Informed Data Integration Framework for Collaborative Research on Emerging Model Organisms. bioRxiv, 2024. [Preprint] [PreLight] #### 2023 ####
Patrick Maximilian Schwehn, Pascal Falter-Braun. Inferring protein from mRNA concentrations using convolutional neural networks. bioRxiv, 2023. [Preprint] [PreLight]
Bipasha Dey, Verena Kaul, Girish Kale, Maily Scorcelletti, Michiko Takeda, Yu-Chiun Wang, Steffen Lemke. Divergent evolutionary strategies preempt tissue collision in fly gastrulation. bioRxiv, 2023. [Preprint] [PreLight]
Bruno C. Vellutini, Marina B. Cuenca, Abhijeet Krishna, Alicja Szałapak, Carl D. Modes, Pavel Tomančák. Patterned embryonic invagination evolved in response to mechanical instability. bioRxiv, 2023. [Preprint] [PreLight]
Keisuke Motone, Daphne Kontogiorgos-Heintz, Jasmine Wee, Kyoko Kurihara, Sangbeom Yang, Gwendolin Roote, Yishu Fang, Nicolas Cardozo, Jeff Nivala . Multi-pass, single-molecule nanopore reading of long protein strands with single-amino acid sensitivity. bioRxiv, 2023. [Preprint] [PreLight]
Nikolaos Meimetis, Douglas A. Lauffenburger, Avlant Nilsson. Inference of drug off-target effects on cellular signaling using Interactome-Based Deep Learning. bioRxiv, 2023. [Preprint] [PreLight]
Jeanette A.I. Johnson, Genevieve L. Stein-O’Brien, et al. Digitize your Biology! Modeling multicellular systems through interpretable cell behavior. bioRxiv, 2023. [Preprint] [PreLight]
Song Feng, James A. Sanford, Thomas Weber, Chelsea M. Hutchinson-Bunch, Panshak P. Dakup, Vanessa L. Paurus, Kwame Attah, Herbert M. Sauro, Wei-Jun Qian, H. Steven Wiley. A Phosphoproteomics Data Resource for Systems-level Modeling of Kinase Signaling Networks. bioRxiv, 2023. [Preprint] [PreLight]
Ian Smith, Petr Smirnov, Benjamin Haibe-Kains. Similarity metric learning on perturbational datasets improves functional identification of perturbations. bioRxiv, 2023. [Preprint] [PreLight]
Intekhab Hossain, Viola Fanfani, John Quackenbush, Rebekka Burkholz. Biologically informed NeuralODEs for genome-wide regulatory dynamics. bioRxiv, 2023. [Preprint] [PreLight]
John D. Blair, Austin Hartman, Fides Zenk, Carol Dalgarno, Barbara Treutlein, Rahul Satija. Phospho-seq: Integrated, multi-modal profiling of intracellular protein dynamics in single cells. bioRxiv, 2023. [Preprint] [PreLight]
Geena V. Ildefonso, Stacey D. Finley. A data-driven Boolean model explains memory subsets and evolution in CD8+ T cell exhaustion. npj Syst Biol Appl, 2023. [Paper] [PreLight]
Alexander Baryshev, Alyssa La Fleur, Benjamin Groves, Cirstyn Michel, David Baker, Ajasja Ljubetič, Georg Seelig. Massively parallel protein-protein interaction measurement by sequencing (MP3-seq) enables rapid screening of protein heterodimers. bioRxiv, 2023. [Preprint] [PreLight]