Searching journal content for articles similar to McLean et al. 23 (5): 867.

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  1. Method: Integration of high-throughput proteomic data and complementary omics layers with PriOmics
    • Robin Kosch,
    • Katharina Limm,
    • Annette M. Staiger,
    • Nadine S. Kurz,
    • Nicole Seifert,
    • Bence Oláh,
    • Stefan Solbrig,
    • Viola Poeschel,
    • Gerhard Held,
    • Marita Ziepert,
    • Norbert Schmitz,
    • Emil Chteinberg,
    • Reiner Siebert,
    • Rainer Spang,
    • Helena U. Zacharias,
    • German Ott,
    • Peter J. Oefner,
    • and Michael Altenbuchinger
    Genome Res. January 2026 36: 197-213; Published in Advance November 18, 2025, doi:10.1101/gr.279487.124
    ..., Germany; 12Department of Statistical Bioinformatics, University of Regensburg, 93053 Regensburg, Germany ↵13 These authors contributed equally to this work. Corresponding author: robin.kosch@protonmail.comAbstractHigh-throughput bottom-up proteomic data cover thousands of proteins and related co- and post...
  2. Method: Simultaneous modeling of chromatin conformation changes from multiple single-cell interaction maps with ChromMovie
    • Krzysztof H. Banecki,
    • Haoxi Chai,
    • Yijun Ruan,
    • and Dariusz Plewczynski
    Genome Res. April 8, 2026 ; Published in Advance April 8, 2026, doi:10.1101/gr.280985.125
    ...) is a high-throughput method that simultaneously measures gene expression, chromatin accessibility, and chromatin interactions in single cells. By leveraging a microfluidic platform, it can analyze 6000−8000 cells in a single reaction, providing insights into the 3D epigenomic mechanisms that regulate...
    OPEN ACCESS ARTICLE
  3. 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
    ...when lacking constraints from regulatory mechanisms.Therefore, in this paper, we propose PRISM-GRN, a probabilistic Bayesian model designed to recover cell type–specific GRNs using a biologically interpretable architecture based on single-cell multi-omics data. Gene regulatory mechanism dictates...
  4. Method: A high-throughput screening method for selecting feature SNPs to evaluate breed diversity and infer ancestry
    • Meilin Zhang,
    • Heng Du,
    • Yu Zhang,
    • Yue Zhuo,
    • Zhen Liu,
    • Yahui Xue,
    • Lei Zhou,
    • Sixuan Zhou,
    • Wanying Li,
    • and Jian-Feng Liu
    Genome Res. August 2025 35: 1875-1886; Published in Advance July 15, 2025, doi:10.1101/gr.280176.124
    ...structure analyses, genetic diversity evaluation, and ancestry estimation (Kennedy et al. 2003; Zimmerman et al. 2020). Simultaneously, the latest advances in SNP high-throughput arrays and WGS facilitate the SNPs applied in the usual genetic analyses. However, compared with WGS, SNP arrays were primarily...
    OPEN ACCESS ARTICLE
  5. 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...
  6. Method: High-fidelity bidirectional translation between single-cell transcriptomes and DNA methylomes with scBOND
    • Kehan Lang,
    • Chenyang Jia,
    • Siyu Li,
    • Yi Guo,
    • Dingjun Hu,
    • and Shengquan Chen
    Genome Res. April 2026 36: 769-784; Published in Advance March 26, 2026, doi:10.1101/gr.281350.125
    ...Interdisciplinary Studies, Nankai University, Tianjin 300071, China ↵4 These authors contributed equally to this work. Corresponding author: chenshengquan@nankai.edu.cnAbstractSingle-cell multiomic sequencing technologies have offered unprecedented insights into cellular heterogeneity by jointly profiling gene...
    OPEN ACCESS ARTICLE
  7. Method: A unified analysis of atlas single-cell data
    • Hao Chen,
    • Nam D. Nguyen,
    • Matthew Ruffalo,
    • and Ziv Bar-Joseph
    Genome Res. May 2025 35: 1219-1233; Published in Advance February 18, 2025, doi:10.1101/gr.279631.124
    ...embedding, in which graphs nearby in the tree structure are embedded closely in the latent space.We applied the method to the HuBMAP data from 10 different tissues, three different major modalities, and nine different single-cell platforms. We also validated it on another human development cell atlas data...
    OPEN ACCESS ARTICLE
  8. Method: De novo detection of somatic variants in high-quality long-read single-cell RNA sequencing data
    • Arthur Dondi,
    • Nico Borgsmüller,
    • Pedro F. Ferreira,
    • Brian J. Haas,
    • Francis Jacob,
    • Viola Heinzelmann-Schwarz,
    • Tumor Profiler Consortium,
    • and Niko Beerenwinkel
    Genome Res. April 2025 35: 900-913; Published in Advance March 19, 2025, doi:10.1101/gr.279281.124
    ..., to examine these interlinked features jointly (Foord et al. 2023) by capturing genetic and transcriptomic variants at the single-cell level (Mansoori et al. 2017; Dagogo-Jack and Shaw 2018; Marine et al. 2020).Droplet-based scRNA-seq (e.g., 10x Genomics Chromium) can detect same-cell genetic...
    OPEN ACCESS ARTICLE
  9. Method: Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes
    • Hongke Peng,
    • Jafar S. Jabbari,
    • Luyi Tian,
    • Changqing Wang,
    • Yupei You,
    • Chong Chyn Chua,
    • Natasha S. Anstee,
    • Noorul Amin,
    • Andrew H. Wei,
    • Nadia M. Davidson,
    • Andrew W. Roberts,
    • David C.S. Huang,
    • Matthew E. Ritchie,
    • and Rachel Thijssen
    Genome Res. April 2025 35: 942-955; Published in Advance January 10, 2025, doi:10.1101/gr.279322.124
    ...primer spike-in with the 10x Genomics protocol and primer panel design optimization (Nam et al. 2019; Griffin et al. 2023). This limits the ability to target multiple genes of interest or to perform long-read sequencing on already amplified single-cell indexed cDNA.The growing interest in high-throughput...
    OPEN ACCESS ARTICLE
  10. Method: Polyomino reconstructs spatial transcriptomic profiles with single-cell resolution via a region-allocation method
    • Quanyou Cai,
    • Lihui Lin,
    • Xin Liu,
    • and Jiekai Chen
    Genome Res. November 2025 35: 2513-2526; Published in Advance October 22, 2025, doi:10.1101/gr.280532.125
    ...single cells, thereby generating pseudospots that mimic the lower spatial resolution of Visium while retaining ground-truth expression and cell-type information.Using these synthetic pseudospots as spatial input, we applied Polyomino, Tangram (cluster-based), cell2location, and RCTD to recover...
    OPEN ACCESS ARTICLE
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