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Method: Balancing gene ontology annotation specificity in protein function prediction based on the protein sequence large graph
- Jiangyi Shao,
- Shutao Chen,
- Ziwen Wang,
- Zixu Chen,
- and Bin Liu
Genome Res. April 15, 2026 gr.280816.125; Published in Advance April 15, 2026, doi:10.1101/gr.280816.125
...Balancing Gene Ontology annotation specificity in protein function prediction 1 based on the protein sequence large graph 2 Jiangyi Shao1,2, Shutao Chen1, Ziwen Wang 1, Zixu Chen1,2, Bin Liu1,2* 3 1 School of Computer Science and Technology, Beijing Institute of Technology, 4 Beijing 100081, China...
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Research: Large-scale investigation of species-specific orphan genes in the human gut microbiome elucidates their evolutionary origins
- Nikolaos Vakirlis and
- Anne Kupczok
Genome Res. June 2024 34: 888-903; Published in Advance July 8, 2024, doi:10.1101/gr.278977.124
...: In this window In a new window Figure 2. Large scale-identification of species-specific orphan genes (SSOGs) in the human gut microbiome. (A) The main steps of the computational workflow of similarity searches. (B) Distribution of the SSOG proportion in a given species’ pan. The red dashed line denotes...
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Resource: Cell type–specific gene regulatory atlas prioritizes drug targets and repurposable medicines in Alzheimer's disease
- Yunxiao Ren,
- Ming Hu,
- Yang E. Li,
- Andrew A. Pieper,
- Jeffrey Cummings,
- and Feixiong Cheng
Genome Res. March 2026 36: 645-659; Published in Advance January 21, 2026, doi:10.1101/gr.280436.125
.... Leveraging generative AI and large-scale foundation models, we could develop a gene regulatory network–based framework that dynamically aligns molecular states with disease progression in a continuous manner. Such a stage-aware and data-driven gene regulatory network-based framework could ultimately enable...
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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
...an automated annotation tool for single-cell transcriptome data, named single-cell hybrid graph neural network with gene regulations (scHGR). Leveraging large-scale experimentally validated gene regulatory relationships from databases, scHGR employs a graph representation algorithm to assemble correlations...
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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
...annotated across both assemblies.View this table: In this window In a new window Table 1. The details of the benchmark data setsFor each benchmark data set, cell type–specific prior GRNs were derived from ChIP-seq data archived in the ChIP-Atlas database (Oki et al. 2018), which is a large-scale integrative...
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Research: A gene regulatory element modulates myosin expression and controls cardiomyocyte response to stress
- Taylor Anglen,
- Irene M. Kaplow,
- Baekgyu Choi,
- Enya Dewars,
- Robin M. Perelli,
- Kevin T. Hagy,
- Duc Tran,
- Megan E. Ramaker,
- Svati H. Shah,
- Inkyung Jung,
- Andrew P. Landstrom,
- Ravi Karra,
- Yarui Diao,
- and Charles A. Gersbach
Genome Res. November 2025 35: 2418-2432; Published in Advance October 22, 2025, doi:10.1101/gr.280825.125
...). Differential analysis was performed using a paired two-tailed DESeq2 test. (C,D) Gene Ontology enrichment analysis for differentially expressed genes increasing (C) or decreasing (D) in expression. Select terms are displayed. (E) The top five unique TF motifs for repressed or activated ATAC peaks. (F...
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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
...inference by significantly increasing the number of samples used in network inference, leveraging large-scale publicly available and uniformly processed RNA-seq data from recount3 (Wilks et al. 2021) which includes human RNA-seq samples from GTEx (The GTEx Consortium 2020), TCGA (Tomczak et al. 2015...
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Method: Nematode gene annotation by machine-learning-assisted proteotranscriptomics enables proteome-wide evolutionary analysis
- Alejandro Ceron-Noriega,
- Miguel V. Almeida,
- Michal Levin,
- and Falk Butter
Genome Res. January 2023 33: 112-128; Published in Advance January 18, 2023, doi:10.1101/gr.277070.122
...of nematodes is believed to date back to ∼650–750 million years, generating a large and phylogenetically diverse group to be explored. However, for most species high-quality gene annotations are incomprehensive or missing. Combining short-read RNA sequencing with mass spectrometry–based proteomics and machine...
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Method: Deciphering context-specific gene programs from single-cell and spatial transcriptomics data with DeCEP
- Lin Li,
- Xianbin Su,
- and Ze-Guang Han
Genome Res. October 2025 35: 2300-2315; Published in Advance August 21, 2025, doi:10.1101/gr.279689.124
...are suitable for different application scenarios. Existing gene set scoring methods allow rapid and direct functional quantification of large numbers of cells with unknown labels (Noureen et al. 2022), thus facilitating initial data exploration. Although DeCEP is not suitable for such large-scale analyses...
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Research: Developmental transcriptomics in Pristionchus reveals the environmental responsiveness of a plasticity gene-regulatory network
- Shelley Reich,
- Tobias Loschko,
- Julie Jung,
- Samantha Nestel,
- Ralf J. Sommer,
- and Michael S. Werner
Genome Res. July 2025 35: 1560-1573; Published in Advance June 9, 2025, doi:10.1101/gr.279783.124
...separated samples first by developmental time along PC1 and second by species along PC2 (Supplemental Fig. S15). The mbd-2 gene in P. exspectatus seems to be incorrectly annotated and was excluded from this analysis. Consistent with the large-scale transcriptomic changes, the GRN also exhibited significant...
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