Results 301 to 310 of about 1,743,586 (380)

Discovery of megapolipeptins by genome mining of a Burkholderiales bacteria collection. [PDF]

Chem Sci
Paulo BS, Recchia MJJ, Lee S, Fergusson CH, Romanowski SB, Hernandez A, Krull N, Liu DY, Cavanagh H, Bos A, Gray CA, Murphy BT, Linington RG, Eustaquio AS.   +13 more
europepmc   +1 more source

Mining Herbaria for Plant Pathogen Genomes: Back to the Future

, 2014
Kentaro Yoshida, Hernán A. Burbano, Johannes Krause, Marco Thines, Detlef Weigel, Sophien Kamoun   +5 more
openalex   +2 more sources

T2T genome, pan‐genome analysis, and heat stress response genes in Rhododendron species

iMeta, Volume 4, Issue 2, April 2025.
This study reports the first high‐quality telomere‐to‐telomere (T2T) Rhododendron liliiflorum genome with 11 chromosomes that are gap free. The 24 telomeres and all 13 centromeres detected in this genome, which reached the highest quality gold level.
Xiaojing Wang, Ping Zhou, Xiaoyu Hu, Yun Bai, Chenhao Zhang, Yanhong Fu, Ruirui Huang, Niu Suzhen, Xiaoming Song   +8 more
wiley   +1 more source

Discovery of 15-deoxynaphthomycins activating the antioxidant NRF2-ARE pathway from Streptomyces sp. N50 via genome mining, global regulator introduction, and molecular networking. [PDF]

Microb Cell Fact
Kim MS, Selvaraj B, Yeo HT, Park JS, Lee JW, Park JS.   +5 more
europepmc   +1 more source

Data Mining methods based on second-order Hidden Markov Models to identify heterogeneities into bacteria genomes

, 2010
Catherine Eng
openalex   +1 more source

ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns

iMeta, EarlyView.
ggClusterNet 2 drives the evolution of network analysis, offering researchers an accurate, efficient, convenient, reproducible, and visually compelling tool. Abstract Since its initial release in 2022, ggClusterNet has become a vital tool for microbiome research, enabling microbial co‐occurrence network analysis and visualization in over 300 studies ...
Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan   +14 more
wiley   +1 more source

Genome Mining of Pseudanabaena galeata CCNP1313 Indicates a New Scope in the Search for Antiproliferative and Antiviral Agents. [PDF]

Microorganisms
Grabski M, Gawor J, Cegłowska M, Gromadka R, Mazur-Marzec H, Węgrzyn G.   +5 more
europepmc   +1 more source

Genome Mining and Transcriptional Analysis of Bacteriocin Genes in Enterococcus faecium CRL1879

, 2015
Suárez N Bonacina J, Hebert EM Saavedra L   +1 more
openalex   +1 more source

Machine learning for discrimination of phase‐change chalcogenide glasses

InfoMat, Volume 7, Issue 4, April 2025.
Despite their diverse applications, chalcogenides share similar local structures in amorphous states, making it challenging to identify electronic phase‐change memory (ePCM) materials using traditional methods. We developed a machine learning approach to distinguish ePCMs from non‐ePCMs by analyzing subtle structural differences, revealing key features
Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig   +10 more
wiley   +1 more source

Imaging Mass Spectrometry and Genome Mining Reveal Antimicrobial Peptides of Novel Pediococcus acidilactici CCFM18. [PDF]

Foods
Qiao Y, Tian F, Yu L, Zhao J, Zhai Q, Chen W.   +5 more
europepmc   +1 more source