Keywords: paralog processing, codon usage, hyperspectral imaging

Latest 7 Papers

PlantCV v4: Image analysis software for high-throughput plant phenotyping

Authors: Schuhl, H., Brown, K. E., Sheng, H., Bhatt, P. K., Gutierrez, J., Schneider, D., Casto, A. L., Acosta-Gamboa, L., Ballenger, J. G., Barbero, F., Braley, J., Brown, A. M., Chavez, L., Cunningham, S., Dilhara, M., Dimech, A. M., Duenwald, J. G., Fischer, A., Gordon, J. M., Hendrikse, C., Hernandez, G. L., Hodge, J. G., Huber, M., Hurr, B. M., Jarolmasjed, S., Medina Jimenez, K., Kenney, S., Konkel, G., Kutschera, A., Lama, S., Lohbihler, M., Lorence, A., Luebbert, C., Ly, N., Manching, H. K., Marrano, A., Meerdink, S., Miklave, N. M., Mudrageda, P., Murphy, K. M., Peery, J. D., Pierik, R., Polyd

Date: 2025-11-20 · Version: 1

DOI: 10.1101/2025.11.19.689271

Model Organism: General

PlantCV image-based phenotyping fluorescence imaging thermal imaging hyperspectral imaging

Hyperspectral Imaging to Quantify Nodules and Detect Biological Nitrogen Fixation in Legumes

Authors: Wang, Y., de Silva, K., Song, D., Kamruzzaman, M., Brooks, M. D.

Date: 2025-10-24 · Version: 3

DOI: 10.1101/2025.07.25.666867

Model Organism: Multi-species

root nodules biological nitrogen fixation hyperspectral imaging deep learning legume species

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae)

Authors: Moore-Pollard, E. R., Ellestad, P., Mandel, J.

Date: 2025-10-13 · Version: 2

DOI: 10.1101/2025.09.14.676143

Model Organism: Multi-species

phylogenomic discordance polyploidy paralog processing Packera historical biogeography

Botanic Spectrum Analyser: A Deep Learning GUI for Plant Image Segmentation in Hyperspectral and RGB Phenotyping

Authors: Walsh, J. J., Gorgu, L., Cavel, E., Poulain, V., Gutierrez, L., Mangina, E., Negrao, S.

Date: 2025-09-17 · Version: 1

DOI: 10.1101/2025.09.14.676080

Model Organism: Multi-species

plant phenotyping image segmentation U‑Net hyperspectral imaging deep learning

Remote sensing of endogenous pigmentation by inducible synthetic circuits in grasses

Authors: Lee, D.-Y., Acosta-Gamboa, L., Saleh, L., Pathak, S., Swyers, N., Morgan, A., Meerdink, S., Kuzio, C., Calderon, S., Sheng, H., Kenney, S., Zare, A., Gehan, M., Nusinow, D. A.

Date: 2025-06-23 · Version: 1

DOI: 10.1101/2025.06.20.660755

Model Organism: Setaria viridis

synthetic biology monocot plant engineering ligand‑inducible sensor anthocyanin pathway hyperspectral imaging

Revisiting the Central Dogma: the distinct roles of genome, methylation, transcription, and translation on protein expression in Arabidopsis thaliana

Authors: Zhong, Z., Bailey, M., Kim, Y.-I., Pesaran-Afsharyan, N., Parker, B., Arathoon, L., Li, X., Rundle, C. A., Behrens, A., Nedialkova, D. D., Slavov, G., Hassani-Pak, K., Lilley, K. S., Theodoulou, F. L., Mott, R.

Date: 2025-03-31 · Version: 2

DOI: 10.1101/2025.01.08.631880

Model Organism: Arabidopsis thaliana

Arabidopsis thaliana codon usage gene expression DNA methylation ribosome profiling

Meltome Atlas of Arabidopsis thaliana Proteome: A Melting Temperature-Based Identification of Heat & Cold Resistant Proteins

Authors: Mohanta, T. K., Mohanta, K. M.

Date: 2025-02-25 · Version: 1

DOI: 10.1101/2025.02.22.639691

Model Organism: Arabidopsis thaliana

thermal stability melting temperature (Tm)Arabidopsis thaliana proteome codon usage gene duplication