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Method: Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet
- Yidi Deng,
- Jiadong Mao,
- Jarny Choi,
- and Kim-Anh Lê Cao
Genome Res. March 5, 2026 ; Published in Advance March 5, 2026, doi:10.1101/gr.281171.125
...-specific networks into meta-networks that capture primary coexpression patterns and (ii) integrating prior knowledge to annotate coexpression and infer active signaling interactions at the individual cell level. All functional modules of NNet are implemented with an efficient algorithm that enables the application...
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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
...Functional genomics analysis of developing zebrafish and human endoderm reveals highly conserved cisregulatory modules acting during vertebrate organogenesis Daniela M. Riley,1,7 Randa Elsayed,1,7 Mark D. Walsh,2,7 Simaran Johal,2 Ying Lin,3,4 Harry Walton,1 Till Bretschneider,5 Sascha Ott,1...
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Method: scSHEFT enables multiomics label transfer from scRNA-seq to scATAC-seq through dual alignment
- Zhitao Huang,
- Ruiqing Zheng,
- Pengzhen Jia,
- Xuhua Yan,
- Jinmiao Chen,
- and Min Li
Genome Res. February 2026 36: 387-396; Published in Advance January 20, 2026, doi:10.1101/gr.280410.125
...challenges for identifying different cell types, which hinders the discovery of novel types. In this study, we propose a new label transfer tool scSHEFT, which simultaneously considers gene expression count data, peak count data, and Gene Activity Scores as inputs to bridge the gap of heterogeneous features...
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Method: Multisample motif discovery and visualization for tandem repeats
- Yaran Zhang,
- Marc Hulsman,
- Alex Salazar,
- Niccolò Tesi,
- Lydian Knoop,
- Sven van der Lee,
- Sanduni Wijesekera,
- Jana Krizova,
- Erik-Jan Kamsteeg,
- and Henne Holstege
Genome Res. April 2025 35: 850-862; Published in Advance November 13, 2024, doi:10.1101/gr.279278.124
...technique, and (iii) clustering and aligning sequences based on their motif composition. MotifScope iteratively discovers and annotates motifs that make up long-continuous sequences within a single sequence without error correction, but also across sequences to enable joint discovery and annotation across...
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Research: Optical genome mapping enables accurate testing of large repeat expansions
- Bart van der Sanden,
- Kornelia Neveling,
- Syukri Shukor,
- Michael D. Gallagher,
- Joyce Lee,
- Stephanie L. Burke,
- Maartje Pennings,
- Ronald van Beek,
- Michiel Oorsprong,
- Ellen Kater-Baats,
- Eveline Kamping,
- Alide A. Tieleman,
- Nicol C. Voermans,
- Ingrid E. Scheffer,
- Jozef Gecz,
- Mark A. Corbett,
- Lisenka E.L.M. Vissers,
- Andy Wing Chun Pang,
- Alex Hastie,
- Erik-Jan Kamsteeg,
- and Alexander Hoischen
Genome Res. April 2025 35: 810-823; Published in Advance March 20, 2025, doi:10.1101/gr.279491.124
...Optical mapping enables accurate testing of large repeat expansions Bart van der Sanden1, Kornelia Neveling1, Syukri Shukor2, Michael D. Gallagher2, Joyce Lee2, Stephanie L. Burke2, Maartje Pennings1, Ronald van Beek1, Michiel Oorsprong1, Ellen Kater-Baats1, Eveline Kamping1, Alide A. Tieleman3...
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Method: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
- Hang Zhang,
- Yi Zhang,
- Kai Ming Ting,
- Jie Zhang,
- and Qiuran Zhao
Genome Res. February 2025 35: 355-367; Published in Advance February 5, 2025, doi:10.1101/gr.278983.124
...to this work. Corresponding authors: tingkm@nju.edu.cn, zhangj_ai@nju.edu.cnAbstractSpatial transcriptomics are a collection of technologies that have enabled characterization of gene expression profiles and spatial information in tissue samples. Existing methods for clustering 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
...have revolutionized our ability to uncover cellular heterogeneity and identify distinct subpopulations within complex tissues (Regev et al. 2017). Applying these technologies to the study of m6A will provide unprecedented insights into the cell type–specific roles of m6A in hippocampal function...
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Method: FocalSV enables target region–based structural variant assembly and refinement using single-molecule long-read sequencing data
- Can Luo,
- Zimeng Jamie Zhou,
- Yichen Henry Liu,
- and Xin Maizie Zhou
Genome Res. October 2025 35: 2252-2272; Published in Advance August 13, 2025, doi:10.1101/gr.280282.124
...involving a limited number of regions rather than whole- discovery. Whereas assembly-based SV detection is generally resource-intensive, FocalSV's region-based design enables efficient and rapid analysis when users focus on selected loci of interest.FocalSV is designed to support multilevel parallelization...
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Research: Heterogeneous and novel transcript expression in single cells of patient-derived clear cell renal cell carcinoma organoids
- Tülay Karakulak,
- Natalia Zajac,
- Hella Anna Bolck,
- Anna Bratus-Neuenschwander,
- Qin Zhang,
- Weihong Qi,
- Debleena Basu,
- Tamara Carrasco Oltra,
- Hubert Rehrauer,
- Christian von Mering,
- Holger Moch,
- and Abdullah Kahraman
Genome Res. April 2025 35: 698-711; Published in Advance March 19, 2025, doi:10.1101/gr.279345.124
.... 2024b).The presented study revealed hundreds of thousands of novel transcripts, of which only the minority are commonly expressed in single or multiple patients, highlighting the intra- and intertumor heterogeneity of ccRCC. The discovery of frequently found novel transcripts provides insights...
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Method: Nanopore-based consensus sequencing enables accurate multimodal tumor cell-free DNA profiling
- Li-Ting Chen,
- Myrthe Jager,
- Dàmi Rebergen,
- Geertruid J. Brink,
- Tom van den Ende,
- Willem Vanderlinden,
- Pauline Kolbeck,
- Marc Pagès-Gallego,
- Ymke van der Pol,
- Nicolle Besselink,
- Norbert Moldovan,
- Nizar Hami,
- Wigard P. Kloosterman,
- Hanneke van Laarhoven,
- Florent Mouliere,
- Ronald Zweemer,
- Jan Lipfert,
- Sarah Derks,
- Alessio Marcozzi,
- and Jeroen de Ridder
Genome Res. April 2025 35: 886-899; Published in Advance January 13, 2025, doi:10.1101/gr.279144.124
...-nucleotide variations (SNVs) are, however, much harder to identify with low sequencing depth due to sequencing errors. Here, we present Nanopore Rolling Circle Amplification (RCA)-enhanced Consensus Sequencing (NanoRCS), which leverages RCA and consensus calling based on -wide long-read nanopore sequencing to enable...
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