Genomics is the study of an organism's complete set of DNA, offering a deep dive into the biological instructions that shape life. This field explores how genetic information influences traits, health, and evolution, moving beyond single genes to understand the complex interplay within entire genomes. From uncovering the roots of disease to mapping biodiversity, genomics provides the foundational data for many modern medical breakthroughs.

At Gist.Science, we process every new preprint in this category as it appears on bioRxiv, ensuring you stay ahead of the curve. Each paper is accompanied by both a clear, plain-language overview and a detailed technical summary, making cutting-edge research accessible to everyone regardless of their background. Below are the latest papers in genomics, freshly summarized and ready for you to explore.

🧬 genomics

Transcriptomic data and biomedical literature synergize in finding pharmacologic gene regulators

The paper introduces SNACKKSS, a system that automatically curates transcriptomic data and biomedical literature to predict pharmacologic gene regulators, demonstrating that its machine learning-based predictions significantly enhance drug repurposing efforts for Mendelian disorders while highlighting the importance of cross-device model validation.

Deisseroth, C. A., Brazelton, B., Shaik, Z., Liu, Z., Zoghbi, H. Y.2026-03-15
🧬 genomics

The curious case of a Chilean copepod (Tigriopus aff. angulatus) genome assembly

This study presents a high-quality, chromosome-level genome assembly for a Chilean *Tigriopus* population (tentatively identified as *Tigriopus* aff. *angulatus*), generated using multi-platform sequencing to provide essential genomic resources for investigating adaptation and diversity within this globally distributed copepod genus.

Neylan, I. P., Vaidya, R., Dassanayake, M., Navarrete, S. A., Kelly, M. W., Faircloth, B. C.2026-03-13
🧬 genomics

Biotic-response networks are an important organizer of the transcriptome in wild Arabidopsis thaliana populations

This study reveals that while biotic-response networks remain conserved in wild *Arabidopsis thaliana* populations across diverse natural environments, the overall transcriptome organization and regulatory relationships differ significantly from those observed in controlled laboratory settings.

Leite Montalvao, A. P., Murray, K. D., Bezrukov, I., Betz, N., Henry, L., Duran, P., Boppert, P., Kolb, M., TEAM PATHOCO (…)2026-03-13
🧬 genomics

Identification and Masking of Artefactual and Misleading Within-Host Variants in Deep-Sequencing SARS-CoV-2 Data

This study identifies recurrent, sequencing-center-specific artefactual within-host variants in SARS-CoV-2 deep-sequencing data and proposes a dataset-aware masking framework to eliminate these noise sources, thereby improving the accuracy of downstream evolutionary and transmission inferences.

Anker, K. M., Hall, M., Evans Pena, R., Kemp, S. A., Clarke, J., Zhao, L., Bonsall, D., Grayson, N., Bashton, M., The CO (…)2026-03-13
🧬 genomics

The complete genome of the KOLF2.1J reference iPSC line

This study presents a complete, custom diploid genome assembly and comprehensive annotation for the KOLF2.1J reference iPSC line, offering a more accurate genomic resource than traditional references to improve the investigation of neurodegenerative disease mechanisms and establish a framework for future high-value cell line references.

Alvarez Jerez, P., Rhie, A., Kim, J., Hebbar, P., Nag, S., Antipov, D., Koren, S., Lara, E., Beilina, A., Hansen, N. F. (…)2026-03-12
🧬 genomics

Persistent SARS-CoV-2 Spike is Associated with Localized Immune Dysregulation in Long COVID Gut Biopsies

This study demonstrates that persistent SARS-CoV-2 Spike protein in the gut tissues of Long COVID patients drives localized immune dysregulation characterized by specific gene expression changes, myeloid and T-cell enrichment, and a dysfunctional pro-inflammatory microenvironment, particularly within the colon.

Abraham Soria, S., Peterson, P., VanElzakker, M. B., Tankelevich, M., Mehandru, S., Proal, A., Putrino, D., Freire, M.2026-03-12