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Method: Quantifying pathological progression from single-cell transcriptomic data with scPSS
- Samin Rahman Khan,
- M Saifur Rahman,
- M. Sohel Rahman,
- and Md Abul Hassan Samee
Genome Res. February 2026 36: 375-386; Published in Advance January 14, 2026, doi:10.1101/gr.280411.125
...of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh; 4Department of Integrative Physiology, Baylor College of Medicine, Houston, Texas 77030, USA Corresponding authors: msrahman@cse.buet.ac.bd, samee@bcm.eduAbstractThe surge in single-cell data sets...
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Method: Recovering gene regulatory networks in single-cell multi-omics data with PRISM-GRN
- Wenhao Zhang,
- Lan Cao,
- Xiaoxuan Gu,
- Yongyu Long,
- and Ying Wang
Genome Res. January 2026 36: 142-158; Published in Advance October 9, 2025, doi:10.1101/gr.280757.125
.... Its flexibility in integrating unpaired data without compromising performance makes it particularly valuable in scenarios in which paired data sets are difficult to obtain, enabling broader applications in genomics and single-cell research.PRISM-GRN achieves robust performance with limited prior...
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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
...for Imaging Science, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: awang87@jhu.eduAbstractThe selection of marker gene panels is critical for capturing the cellular and spatial heterogeneity in the expanding atlases of single-cell RNA sequencing (scRNA-seq) and spatial...
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Method: TFcomb identifies transcription factor combinations for cellular reprogramming based on single-cell multiomics data
- Chen Li,
- Sijie Chen,
- Yixin Chen,
- Haiyang Bian,
- Minsheng Hao,
- Lei Wei,
- and Xuegong Zhang
Genome Res. June 2025 35: 1429-1439; Published in Advance April 10, 2025, doi:10.1101/gr.279955.124
...reprogramming TF identification, current methods often fail to put the real effective reprogramming TFs at the top. To address these challenges, we developed TFcomb, a computational method that leverages single-cell multiomics data to identify reprogramming TFs and TF combinations. We modeled the task...
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Method: Harnessing agent-based frameworks in CellAgentChat to unravel cell–cell interactions from single-cell and spatial transcriptomics
- Vishvak Raghavan,
- Yumin Zheng,
- Yue Li,
- and Jun Ding
Genome Res. July 2025 35: 1646-1663; Published in Advance May 2, 2025, doi:10.1101/gr.279771.124
...), COMMOT (Cang et al. 2023), Scriabin (Wilk et al. 2024), Connectome (Raredon et al. 2022), SingleCellSignalR (Cabello-Aguilar et al. 2020), NATMI (Hou et al. 2020), and scSeqComm (Baruzzo et al. 2022). We evaluated the performance of all these methods across five different spatial transcriptomics data...
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Research: Single-cell discovery of m⁶A RNA modifications in the hippocampus
- Shuangshuang Feng,
- Maitena Tellaetxe-Abete,
- Yujie Zhang,
- Yan Peng,
- Han Zhou,
- Mingjie Dong,
- Erika Larrea,
- Liang Xue,
- Li Zhang,
- and Magdalena J. Koziol
Genome Res. June 2024 34: 822-836; Published in Advance July 15, 2024, doi:10.1101/gr.278424.123
....Identification of five major cell types in hippocampal m6A single-cell dataUsing automatic annotation (see Methods) and validating with published work (Ximerakis et al. 2019), we identified cell type clusters based on specific gene markers (Fig. 4A–C; Supplemental Table S10). Clusters 2, 3, 5, 6, 7, 12, and 13 were...
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Research: Assessing the readiness of Oxford Nanopore sequencing for clinical genomics applications
- Judith Arres,
- Santosh Elavalli,
- Shalini Behl,
- Daniel Matias Sanchez,
- Ayesha Al Ali,
- Abdelrahman Ahmed Yehia Abdelaziz Saad,
- Azza Attia,
- Cyla Minas,
- Sharika Pariyachery,
- Shariq Ahmed,
- Fatmah Aldhuhoori,
- Nitu Thulasidharan,
- Gurunath Katagi,
- Omar Soliman,
- Shilp Purohit,
- Vinay Kusuma,
- Raony Cardenas,
- Thyago Cardoso,
- Luis F. Paulin,
- Philippe Sanio,
- Joseph Mafofo,
- Haiguo Wu,
- Val Zvereff,
- Albarah El-Khani,
- Fahed Al Marzooqi,
- Tiago R. Magalhães,
- Fritz J. Sedlazeck,
- and Javier Quilez
Genome Res. March 2026 36: 460-471; Published in Advance February 11, 2026, doi:10.1101/gr.280134.124
...1, Raony Cardenas1, Thyago Cardoso1, Luis F. Paulin2, Philippe Sanio2, Joseph Mafofo1, Haiguo Wu1, Val Zvereff1, Albarah El-Khani1, Fahed Al Marzooqi1, Tiago R. Magalhães1, Fritz J. Sedlazeck2,3,4 and Javier Quilez1 1M42, Abu Dhabi, United Arab Emirates; 2Human Genome Sequencing Center, Baylor...
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Research: Integrating short-read and long-read single-cell RNA sequencing for comprehensive transcriptome profiling in mouse retina
- Meng Wang,
- Yumei Li,
- Jun Wang,
- Soo Hwan Oh,
- Yexuan Cao,
- and Rui Chen
Genome Res. April 2025 35: 740-754; Published in Advance March 6, 2025, doi:10.1101/gr.279167.124
...-Iseppi et al. 2021). In our study, we developed a workflow designed to streamline the analysis aspect of high-throughput long-read RNA sequencing data, enabling the identification of transcript isoforms at the single-cell level. Our workflow modified the 10x Genomics scRNA-seq protocol (Gupta et al. 2018...
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Research: Functional genomics analysis of developing zebrafish and human endoderm reveals highly conserved cis-regulatory modules acting during vertebrate organogenesis
- Daniela M. Riley,
- Randa Elsayed,
- Mark D. Walsh,
- Simaran Johal,
- Ying Lin,
- Harry Walton,
- Till Bretschneider,
- Sascha Ott,
- and Andrew C. Nelson
Genome Res. March 4, 2026 ; Published in Advance March 4, 2026, doi:10.1101/gr.280838.125
..., to the best of our knowledge, endogenous sox17 expression has not been reported in the zebrafish lateral line, either in literature providing detailed in situ hybridization analysis of sox17 (Chung et al. 2011) or in whole-embryo single-cell RNA-seq time course data sets including Daniocell (Sur et al. 2023...
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Resource: Dynamic dysregulation of retrotransposons in neurodegenerative diseases at the single-cell level
- Wankun Deng,
- Citu Citu,
- Andi Liu,
- and Zhongming Zhao
Genome Res. October 2024 34: 1687-1699; Published in Advance October 18, 2024, doi:10.1101/gr.279363.124
...they are specifically involved in complex diseases is largely unknown. Here, we investigate the cellular heterogeneity of RTEs using 12 single-cell transcriptome profiles covering three neurodegenerative diseases, Alzheimer's disease (AD), Parkinson's disease, and multiple sclerosis. We identify cell type marker RTEs...

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