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Review: Recent advances in methods to characterize archaic introgression in modern humans
- David Peede,
- Mayra M. Bañuelos,
- Jazeps Medina Tretmanis,
- Miriam Miyagi,
- and Emilia Huerta-Sánchez
Genome Res. February 2026 36: 239-256; Published in Advance January 16, 2026, doi:10.1101/gr.278993.124
...-throughput sequencing technologies and the publication of the draft Neanderthal in 2010, Green and colleagues were able to demonstrate the presence of Neanderthal DNA in present-day Eurasians, a signature of past interbreeding events with archaic humans. This integration of genetic material from extinct human relatives...
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Research: Genome and time-of-day transcriptome of Wolffia australiana link morphological minimization with gene loss and less growth control
- Todd P. Michael,
- Evan Ernst,
- Nolan Hartwick,
- Philomena Chu,
- Douglas Bryant,
- Sarah Gilbert,
- Stefan Ortleb,
- Erin L. Baggs,
- K. Sowjanya Sree,
- Klaus J. Appenroth,
- Joerg Fuchs,
- Florian Jupe,
- Justin P. Sandoval,
- Ksenia V. Krasileva,
- Ljudmylla Borisjuk,
- Todd C. Mockler,
- Joseph R. Ecker,
- Robert A. Martienssen,
- and Eric Lam
Genome Res. February 2021 31: 225-238; Published in Advance December 23, 2020, doi:10.1101/gr.266429.120
...into the interplay between a streamlined plant body plan and optimized growth.Wolffia has the distinction of being the duckweed genus with the smallest (Wolffia angusta) as well as the fastest growing (Wolffia microscopica) species of known flowering plants (Sree et al. 2015b). Plants belonging to this genus...
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Method: Unified integration of spatial transcriptomics across platforms with LLOKI
- Ellie Haber,
- Ajinkya Deshpande,
- Jian Ma,
- and Spencer Krieger
Genome Res. December 2025 35: 2722-2733; Published in Advance November 13, 2025, doi:10.1101/gr.280803.125
..., Pittsburgh, Pennsylvania 15213, USA Corresponding authors: jianma@cs.cmu.edu, skrieger@andrew.cmu.eduAbstractSpatial transcriptomics (ST) has transformed our understanding of tissue architecture and cellular interactions, but integrating ST data across platforms remains challenging due to differences in gene...
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Method: Joint imputation and deconvolution of gene expression across spatial transcriptomics platforms
- Hongyu Zheng,
- Hirak Sarkar,
- and Benjamin J. Raphael
Genome Res. December 2025 35: 2734-2743; Published in Advance November 17, 2025, doi:10.1101/gr.280555.125
...to reconstruct a latent spatial gene expression matrix from a pair of observations from different SRT technologies. SIID leverages a spatial alignment and uses a joint nonnegative factorization model to accurately impute missing gene expression and infer gene expression signatures of cell types from admixed SRT...
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Method: Label-free selection of marker genes in single-cell and spatial transcriptomics with geneCover
- An Wang,
- Stephanie Hicks,
- Donald Geman,
- and Laurent Younes
Genome Res. December 2025 35: 2744-2755; Published in Advance November 12, 2025, doi:10.1101/gr.280539.125
...understanding of cellular and spatial heterogeneity at the transcriptomic level. With the continuous expansion of scRNA-seq and spatial omics data, the ability to identify informative marker gene panels has become essential for characterizing distinct cell states and their spatial distribution within tissues...
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Method: Deciphering context-specific gene programs from single-cell and spatial transcriptomics data with DeCEP
- Lin Li,
- Xianbin Su,
- and Ze-Guang Han
Genome Res. October 2025 35: 2300-2315; Published in Advance August 21, 2025, doi:10.1101/gr.279689.124
.... Recent advancements in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) technologies have empowered the comprehensive characterization of gene programs at both single-cell and spatial resolutions. Here, we present DeCEP, a computational framework designed to characterize context...
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Method: Efficient integration of spatial omics data for joint domain detection, matching, and alignment with stMSA
- Han Shu,
- Jing Chen,
- Chang Xu,
- Jialu Hu,
- Yongtian Wang,
- Jiajie Peng,
- Qinghua Jiang,
- Xuequn Shang,
- and Tao Wang
Genome Res. October 2025 35: 2285-2299; Published in Advance August 14, 2025, doi:10.1101/gr.280584.125
.... Corresponding authors: qhjiang@hit.edu.cn, Shang@nwpu.edu.cn, twang@nwpu.edu.cnAbstractSpatial omics (SOs) are powerful methodologies that enable the study of genes, proteins, and other molecular features within the spatial context of tissue architecture. With the growing availability of SO data sets...
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Method: A novel multislice framework for precision 3D spatial domain reconstruction and disease pathology analysis
- Daijun Zhang,
- Ren Qi,
- Xun Lan,
- and Bin Liu
Genome Res. August 2025 35: 1794-1808; Published in Advance July 14, 2025, doi:10.1101/gr.280281.124
...in accurately identifying each cortical layer (i.e., spatial domain) with minimal interlayer confusion, achieving a higher level of completeness in layer delineation than competing approaches. This outcome validates the effectiveness of STMSC's design in reconstructing 3D tissue structures, characterizing...
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Method: spRefine denoises and imputes spatial transcriptomics with a reference-free framework powered by genomic language model
- Tianyu Liu,
- Tinglin Huang,
- Wengong Jin,
- Tinyi Chu,
- Rex Ying,
- and Hongyu Zhao
Genome Res. February 3, 2026 gr.281001.125; Published in Advance February 3, 2026, doi:10.1101/gr.281001.125
...at the subcellular resolution and generate single-cell gene expression profiles43 through aggregation. However, the small area covered as well as the limited number44 of genes pose challenges in characterizing the spatial context of the target tissue com-45 prehensively You et al (2024); Biancalani et al (2021...
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Method: STCC enhances spatial domain detection through consensus clustering of spatial transcriptomics data
- Congcong Hu,
- Nana Wei,
- Jiyuan Yang,
- Hua-Jun Wu,
- and Xiaoqi Zheng
Genome Res. June 2025 35: 1415-1428; Published in Advance May 12, 2025, doi:10.1101/gr.280031.124
..., Peking University, Beijing 100191, China; 5Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China Corresponding authors: hjwu@pku.edu.cn, xqzheng@shsmu.edu.cnAbstractThe rapid advance of spatially resolved transcriptomics...

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