Searching journal content for articles similar to Singh et al. 35 (10): 2326.

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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
...Evaluation of strategies for evidence-driven annotation using long-read RNA-seq Alejandro Paniagua1,2,6, Cristina Agustín-García1,6, Francisco J. Pardo-Palacios1, Thomas Brown3,4, Maite De Maria5, Nancy D. Denslow5, Camila J. Mazzoni3,4 and Ana Conesa1 1Institute for Integrative Systems Biology...
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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
...Multitissue single-nucleus RNA-seq reveals cell type–specific regulatory patterns of alternative polyadenylation in pigs Qiuhan Wen1,2, Zhen Wang1, Qi Bao1, Tianli Ding1, Haihan Zhang3, Jianbo Li4, Zhuang Liu5, Jieping Huang2 and Guoqiang Yi1,6,7 1Shenzhen Branch, Guangdong Laboratory of Lingnan...
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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
...and AI Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: ajbattle@jhu.eduAbstractGene coexpression networks (GCNs) describe relationships among genes that maintain cellular identity and homeostasis. However, typical RNA-seq experiments often lack sufficient sample...
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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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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
..., -guided methods are more commonly used because they are usually more accurate (Shao and Kingsford 2017).Transcriptomic studies involve multiple samples. Constructing a consensus transcriptome from multiple samples is critical in an RNA-seq experiment for the subsequent quantification and differential...
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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
...longer genes results in increased statistical power to detect differential expression in these genes and vice versa. This phenomenon is similar to the fragmentation bias in conventional RNA-seq, in which longer transcripts yield more fragments that can be sequenced and, in turn, more stable expression...
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Research: High temporal resolution RNA-seq time course data reveals widespread synchronous activation between mammalian lncRNAs and neighboring protein-coding genes
- Walter Muskovic,
- Eve Slavich,
- Ben Maslen,
- Dominik C. Kaczorowski,
- Joseph Cursons,
- Edmund Crampin,
- and Maria Kavallaris
Genome Res. August 2022 32: 1463-1473; Published in Advance June 27, 2022, doi:10.1101/gr.276818.122
...RNA-seq time course, we profiled the expression dynamics of several thousand lncRNAs and protein-coding genes in synchronized, transitioning human cells. Our findings reveal that lncRNAs are expressed synchronously with adjacent protein-coding genes. Analysis of lipopolysaccharide-activated mouse...
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RECOMB 2022 Special/Methods: Unsupervised cell functional annotation for single-cell RNA-seq
- Dongshunyi Li,
- Jun Ding,
- and Ziv Bar-Joseph
Genome Res. September 2022 32: 1765-1775; Published in Advance June 28, 2022, doi:10.1101/gr.276609.122
...represented in the pretraining set, the performance drops.DiscussionCell type assignment is one of the most important steps in scRNA-seq analysis. In most cases, such assignment is performed by first clustering cells and then assigning each cluster with a cell type based on differentially expressed genes...
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Method: Accurate integration of multiple heterogeneous single-cell RNA-seq data sets by learning contrastive biological variation
- Yang Zhou,
- Qiongyu Sheng,
- Jing Qi,
- Jiao Hua,
- Bo Yang,
- Lei Wan,
- and Shuilin Jin
Genome Res. May 2023 33: 750-762; Published in Advance June 12, 2023, doi:10.1101/gr.277522.122
...of cPCA, scInt can differentiate genetically similar cell types across batches, enabling comparison of single-cell samples from different biological conditions.With the rapid growth of scRNA-seq data sets, reference-based mapping is turning out to be progressively significant. Recently, several methods...
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Method: Accurate transcriptome-wide identification and quantification of alternative polyadenylation from RNA-seq data with APAIQ
- Yongkang Long,
- Bin Zhang,
- Shuye Tian,
- Jia Jia Chan,
- Juexiao Zhou,
- Zhongxiao Li,
- Yisheng Li,
- Zheng An,
- Xingyu Liao,
- Yu Wang,
- Shiwei Sun,
- Ying Xu,
- Yvonne Tay,
- Wei Chen,
- and Xin Gao
Genome Res. April 2023 33: 644-657; Published in Advance April 28, 2023, doi:10.1101/gr.277177.122
...or the RNA-seq read coverage having clear drop patterns. The former would not become false positive anymore in the differential APA analysis as the input DNA sequences are identical, whereas the latter might be due to some biases introduced by RNA-seq, which still needs further detailed analysis.Apart from...
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