Results 251 to 260 of about 57,741 (321)

Applications of large‐scale artificial intelligence models in bioinformatics

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li, Qichen Shang, Ziyang Dong, Zhixuan You, Le Zhang, Ming Xiao   +5 more
wiley   +1 more source

ALKBH5-mediated m6A demethylation of TXNDC5 drives malignant progression in gastric cancer. [PDF]

Epigenomics
Peng W, Wei X, Zhou F, Xu H.
europepmc   +1 more source

Integrating tDNA Epigenomics and Expression with Codon Usage Unravel an Intricate Connection with Protein Expression Dynamics in Trypanosoma cruzi [PDF]

Herbert G. S. Silva, Satoshi Kimura, Pedro L. C. Lima, David S. Pires, Matthew K. Waldor, Júlia Pinheiro Chagas da Cunha   +5 more
openalex   +1 more source

Aging‐Derived Alterations in Genomic, Immune, and Metabolic Networks: Implications for Cancer Development and Therapy

MedComm – Oncology, Volume 5, Issue 1, March 2026.
Ageing acts as a double‐edged sword in cancer. In the elderly, open chromatin, immunosenescence, and chronic inflammation drive SASP (IL‐6, MMPs), MDSC accumulation and T‐cell suppression, fostering tumor‐promoting microenvironments and limited therapeutic benefit.
Qi Wang, Xue Sun, Xinhao Han, Xingda Zhang, Wenzheng Wang, Hongbin Wang, He Ren, Lina Gu   +7 more
wiley   +1 more source

Multiomics Data Synthesis of FAM83H in Amelogenesis Imperfecta. [PDF]

Int Dent J
Leban T, Kunej T.
europepmc   +1 more source

Large language models for bioinformatics

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu   +54 more
wiley   +1 more source

Single‐cell mitochondrial lineage tracing: Opportunities and challenges

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract Lineage tracing using endogenous mitochondrial DNA (mtDNA) variants holds great promise for reconstructing the lineage histories of individual cells, with broad applications in oncology, developmental biology, and regenerative medicine.
Siqi Li, Kun Wang, Xin Wang, Zheng Hu
wiley   +1 more source

Omics in Nonsteroidal Anti-Inflammatory Drugs-Exacerbated Respiratory Disease: Current Evidence From the Upper and Lower Airways. [PDF]

Allergy
iAkushev A, Szatkowski P, Vorobeva M, Chen CC, Jerschow E, Mastalerz L.   +5 more
europepmc   +1 more source

Pipeline Olympics: continuable benchmarking of computational workflows for DNA methylation sequencing data against an experimental gold standard. [PDF]

Nucleic Acids Res
Lin YY, Breuer K, Weichenhan D, Lafrenz P, Sarnataro A, Wilk A, Chepeleva M, Mücke O, Schönung M, Petermann F, Kensche PR, Weiser L, Thommen F, Giacomelli G, Nordstroem K, Gonzalez-Avalos E, Merkel A, Kretzmer H, Fischer J, Krämer S, Iskar M, Wolf S, Buchhalter I, Esteller M, Lawerenz C, Twardziok S, Zapatka M, Hovestadt V, Schlesner M, Schulz MH, Hoffmann S, Gerhauser C, Walter J, Hartmann M, Lipka DB, Assenov Y, Bock C, Plass C, Toth R, Lutsik P.   +39 more
europepmc   +1 more source

Molecular polymorphisms that underlie trait variation in crops: Lessons learned from soybean

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genetic variation within a germplasm is important in crop improvement, providing a foundation for breeders to develop new varieties. Traits of agronomic and economic importance are often mapped to identify the genetic basis of observed phenotypes, oftentimes using quantitative trait locus (QTL) analysis.
Mary Jane C. Espina, Aaron J. Lorenz, Robert M. Stupar   +2 more
wiley   +1 more source