Searching journal content for articles similar to Kaminow et al. 32 (4): 738.

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Method: Aggregation of recount3 RNA-seq data improves inference of consensus and tissue-specific gene coexpression networks
- Prashanthi Ravichandran,
- Princy Parsana,
- Rebecca Keener,
- Kasper D. Hansen,
- and Alexis Battle
Genome Res. September 2025 35: 2087-2103; Published in Advance July 17, 2025, doi:10.1101/gr.280808.125
...limited power, noise, and unobserved technical confounders. We leveraged publicly available RNA-seq data from recount3 and manually curated tissue/cell type annotations to improve the inference of consensus and context-specific GCNs. Utilizing data splits, we demonstrated that accounting for confounders...
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Method: Tree-based differential testing using inferential uncertainty for RNA-seq
- Noor Pratap Singh,
- Euphy Y. Wu,
- Jason Fan,
- Michael I. Love,
- and Rob Patro
Genome Res. October 2025 35: 2326-2338; Published in Advance August 21, 2025, doi:10.1101/gr.279981.124
...-aware differential transcript/gene expression methods. Our method detects inner nodes that show a strong signal for differential expression, which would have been overlooked when analyzing the transcripts alone.RNA-seq has become the de facto technology for measuring the expression profiles of different genomic...
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Method: Evaluation of strategies for evidence-driven genome annotation using long-read RNA-seq
- Alejandro Paniagua,
- Cristina Agustín-García,
- Francisco J. Pardo-Palacios,
- Thomas Brown,
- Maite De Maria,
- Nancy D. Denslow,
- Camila J. Mazzoni,
- and Ana Conesa
Genome Res. April 2025 35: 1053-1064; Published in Advance December 23, 2024, doi:10.1101/gr.279864.124
...-read sequencing technologies in annotation, we acknowledge several limitations in our work. First, we provided AUGUSTUS with relatively simple lrRNA-seq data sets (one cell line in human and two tissues for the manatee) to evaluate prediction accuracy. Genome annotation efforts often use multiple tissue types...
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Resource: Multitissue single-nucleus RNA-seq reveals cell type–specific regulatory patterns of alternative polyadenylation in pigs
- Qiuhan Wen,
- Zhen Wang,
- Qi Bao,
- Tianli Ding,
- Haihan Zhang,
- Jianbo Li,
- Zhuang Liu,
- Jieping Huang,
- and Guoqiang Yi
Genome Res. September 2025 35: 2116-2129; Published in Advance June 16, 2025, doi:10.1101/gr.280095.124
...polyadenylation (APA) plays a crucial role in gene regulation and phenotypic diversity. Whereas extensive studies have explored the global APA landscape using bulk RNA-seq data, in-depth analyses of APA events at the single-cell level remain limited—particularly in farm animals. In this study, we construct...
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Method: TransMeta simultaneously assembles multisample RNA-seq reads
- Ting Yu,
- Xiaoyu Zhao,
- and Guojun Li
Genome Res. July 2022 32: 1398-1407; Published in Advance July 20, 2022, doi:10.1101/gr.276434.121
..., transcriptome reconstruction for the single sample has limited utility for downstream analyses of transcriptional dynamics across many samples (Niknafs et al. 2017). Following the declaration by Song et al. (2019), we developed the TransMeta to construct the consensus transcriptome from multiple input RNA-seq...
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Method: A gene regulatory network–aware graph learning method for cell identity annotation in single-cell RNA-seq data
- Mengyuan Zhao,
- Jiawei Li,
- Xiaoyi Liu,
- Ke Ma,
- Jijun Tang,
- and Fei Guo
Genome Res. July 2024 34: 1036-1051; Published in Advance August 12, 2024, doi:10.1101/gr.278439.123
....In single-cell transcriptome sequencing, high-resolution quantification of gene expression profiles provides insights into cellular heterogeneity and the molecular underpinnings of tissue phenotype variations (Kalucka et al. 2020; Argelaguet et al. 2021). Analyzing cell type composition using scRNA-seq...
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Research: Stable genome structures in living fossil fishes
- Cheng Wang,
- Chase D. Brownstein,
- Wenjun Chen,
- Zufa Ding,
- Dan Yu,
- Yu Deng,
- Chenguang Feng,
- Thomas J. Near,
- Shunping He,
- and Liandong Yang
Genome Res. February 2026 36: 318-329; Published in Advance January 13, 2026, doi:10.1101/gr.280800.125
.... Our analyses suggest that the genomic stability of gars, which may explain the ability of deeply divergent gar species to hybridize and has contributed to their higher structural similarity to tetrapod s than those of the far more closely related teleost fishes, may result from very low rates...
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Method: BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA
- Lars Gabriel,
- Tomáš Brůna,
- Katharina J. Hoff,
- Matthis Ebel,
- Alexandre Lomsadze,
- Mark Borodovsky,
- and Mario Stanke
Genome Res. May 2024 34: 769-777; Published in Advance June 12, 2024, doi:10.1101/gr.278090.123
...and sensitivity of gene predictions made by MAKER2, Funannotate, and BRAKER3 for a subset of eight species (excluding the mouse, spider, and fish s). Inputs were the genomic sequences, short-read RNA-seq libraries, and protein databases (close relatives included). The accuracy of MAKER2 reported here can...
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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
...of clustering outputs. Then, individual clustering results are integrated, through consensus matrices or hypergraph segmentation algorithms, to determine consensus clustering labels. Such consensus approaches have demonstrated significant potential to improve the clustering accuracy and stability of bulk and scRNA-seq...
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Research: Differences in molecular sampling and data processing explain variation among single-cell and single-nucleus RNA-seq experiments
- John T. Chamberlin,
- Younghee Lee,
- Gabor T. Marth,
- and Aaron R. Quinlan
Genome Res. February 2024 34: 179-188; Published in Advance February 14, 2024, doi:10.1101/gr.278253.123
...analysis. Finally, we show that inclusion of pre-mRNA in bioinformatic processing can impart a larger effect than assay choice itself, which is pivotal to the effective reuse of existing data. These analyses advance our understanding of the sources of variation in single-cell and single-nucleus RNA-seq...
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