Searching journal content for articles similar to Lu et al. 13 (6a): 1146.

Displaying results 1-10 of 6320

For checked items

view abstracts
download to citation manager

Select this article
Research: Natural diversity of telomere length distributions across 100 Saccharomyces cerevisiae strains
- Clotilde Garrido,
- Cintia Gómez-Muñoz,
- Etienne Kornobis,
- Nicolas Agier,
- Oana Ilioaia,
- Gilles Fischer,
- and Zhou Xu
Genome Res. March 2026 36: 522-533; Published in Advance January 16, 2026, doi:10.1101/gr.281132.125
..., relatively little is known about TL regulation and distribution in natural yeast strains. Recent large-scale population genomics studies revealed great genetic diversity encompassing, beyond single-nucleotide polymorphisms, structural variations, aneuploidies, and polyploidies (Peter et al. 2018; O...
Select this article
Method: Automated interpretable artificial intelligence genomic prediction with AlGP
- Lei Wei,
- Ziqin Jiang,
- Baoliang Fan,
- Yidan Yan,
- Zhenqiang Xu,
- Xiaoxiang Hu,
- and Yuzhe Wang
Genome Res. March 5, 2026 ; Published in Advance March 5, 2026, doi:10.1101/gr.281006.125
...80, the explained genomic variance exceeded 90%. Based on this, we tested N=100, 200, Interpretable AI for genomic prediction Genome Research 11 www..org and 500 across pig traits to assess prediction accuracy at different scales. The results showed that the prediction accuracywas highest at N= 100...
Select this article
Method: Autoencoders for genomic variation analysis
- Margarita Geleta,
- Daniel Mas Montserrat,
- Xavier Giro-i-Nieto,
- and Alexander G. Ioannidis
Genome Res. February 2026 36: 348-360; Published in Advance January 20, 2026, doi:10.1101/gr.280086.124
...of granular population structure and inferring of informative latent factors. The learned latent spaces of VAEs are able to capture and represent differentiated Gaussian-like clusters of samples with similar genetic composition on a fine scale from single nucleotide polymorphisms (SNPs), enabling applications...
OPEN ACCESS ARTICLE
Select this article
Method: Modeling gene interactions in polygenic prediction via geometric deep learning
- Han Li,
- Jianyang Zeng,
- Michael P. Snyder,
- and Sai Zhang
Genome Res. January 2025 35: 178-187; Published in Advance November 19, 2024, doi:10.1101/gr.279694.124
....1145/2939672.293978 ↵Cheverud JM, Routman EJ. 1995. Epistasis and its contribution to genetic variance components. Genetics 139: 1455–1461. doi:10.1093/genetics/139.3.1455 ↵Choi SW, O'Reilly PF. 2019. Prsice-2: polygenic risk score software for biobank-scale data. GigaScience 8: giz082. doi:10.1093/gigascience/giz082 ↵Choi SW...
OPEN ACCESS ARTICLE
Select this article
Method: The oligogenic inheritance test GCOD detects risk genes and their interactions in congenital heart defects
- Maureen Pittman,
- Kihyun Lee,
- Franco Felix,
- Yu Huang,
- Adrienne Lam,
- Mauro W. Costa,
- Deepak Srivastava,
- and Katherine S. Pollard
Genome Res. February 2026 36: 330-347; Published in Advance December 12, 2025, doi:10.1101/gr.281141.125
...defect is necessarily also included within the valvulopathy analysis, the latter category of which also includes PA-IVS. Furthermore, an individual might present with multiple distinct phenotypes like TA in combination with heterotaxy. Even so, we hypothesized that analyses at varying scales...
OPEN ACCESS ARTICLE
Select this article
Method: Incorporating valuable prior knowledge to improve deep learning prediction of genetic perturbation responses
- Xiuhao Fu,
- Chao Yang,
- Chunyan Cui,
- Aoyun Geng,
- Yidi Sun,
- Chao Zha,
- Feifei Cui,
- Leyi Wei,
- Quan Zou,
- Xin Gao,
- and Zilong Zhang
Genome Res. March 26, 2026 gr.281523.125; Published in Advance March 26, 2026, doi:10.1101/gr.281523.125
...). 28 These effects are often nonlinear and multi-layered, thereby posing challenges to the 29 analysis of gene function(Ishikawa et al. 2023). Therefore, it is necessary to have 30 technologies that can capture and quantify these changes at the -wide scale in 31 order to explore the global effects...
- Abstract
- Full Text (PDF)
ACCEPTED MANUSCRIPT
Select this article
Resource: Chromosome-level subgenome-aware de novo assembly provides insight into Saccharomyces bayanus genome divergence after hybridization
- Cory Gardner,
- Junhao Chen,
- Christina Hadfield,
- Zhaolian Lu,
- David Debruin,
- Yu Zhan,
- Maureen J. Donlin,
- Tae-Hyuk Ahn,
- and Zhenguo Lin
Genome Res. November 2024 34: 2133-2146; Published in Advance September 17, 2024, doi:10.1101/gr.279364.124
...as a percentage on each node. The tree is drawn to scale, with branch lengths denoting the genetic distance.To better understand the adaptation significance, we evaluated if expansion of MAL genes also occurred in other S. bayanus strains. We conducted searches of homologous genes against 28 other published S...
Select this article
Method: Early feature extraction drives model performance in high-resolution chromatin accessibility prediction
- Aayush Grover,
- Till Muser,
- Liine Kasak,
- Lin Zhang,
- Ekaterina Krymova,
- and Valentina Boeva
Genome Res. March 2026 36: 619-629; Published in Advance January 12, 2026, doi:10.1101/gr.281042.125
...ATAC: -scale transcription-factor binding prediction from ATAC-seq with deep neural networks. PLoS Comput Biol 19: e1010863. doi:10.1371/journal.pcbi.1010863 ↵Chollet F. 2017. Xception: deep learning with depthwise separable convolutions. In Proceedings of the IEEE conference on computer vision and pattern...
OPEN ACCESS ARTICLE
Select this article
Mini-Review: Large-scale genomic analysis of the domestic dog informs biological discovery
- Reuben M. Buckley and
- Elaine A. Ostrander
Genome Res. June 2024 34: 811-821; Published in Advance July 2, 2024, doi:10.1101/gr.278569.123
...this gene could provide a viable therapeutic target in dogs (Urick and Bell 2020; Kawaguchi et al. 2021; Urick et al. 2021).Sequencing strategies for large-scale genomic analysesIn the past 10 years, there has been a steady decrease in the cost of short-read whole- sequencing (WGS) (Cullen and Friedenberg...
OPEN ACCESS ARTICLE
Select this article
Method: ERC2.0 evolutionary rate covariation update improves inference of functional interactions across large phylogenies
- Jordan H. Little,
- Guillermo Hoffmann Meyer,
- Aakash Grover,
- Alex Michael Francette,
- Raghavendran Partha,
- Karen M. Arndt,
- Martin Smith,
- Nathan Clark,
- and Maria Chikina
Genome Res. September 2025 35: 2041-2051; Published in Advance August 7, 2025, doi:10.1101/gr.280586.125
...predictions.The omics era has greatly increased the number of sequenced s (Hotaling et al. 2021). With this influx of information, network and system biologists have developed approaches to study gene and protein interactions from a broader perspective and at a much larger scale. Networks of such interactions...

For checked items

view abstracts
download to citation manager

Searching journal content for articles similar to Lu et al. 13 (6a): 1146.

Search Results

Modify Results

This search

Preprint Server

Current Issue

In This Issue

Citation format:
Results / page:
Results order: