Results 261 to 270 of about 505,000 (387)
Dataset on soil microbial community composition based on 16S rRNA gene OTUs from estuarine wetlands in China. [PDF]
Ma Y +5 more
europepmc +1 more source
The distribution, diversity, and importance of 16S rRNA gene introns in the order Thermoproteales [PDF]
Zackary J. Jay, William P. Inskeep
openalex +1 more source
Fusobacterium nucleatum contributes to the progression of ESCC by inducing NF‐κB–mediated inflammatory signaling in tumor cells and promoting CAFs activation. Its presence may facilitate immune exclusion and tumor invasion through stromal remodeling. Furthermore, F.
Takashi Ofuchi +9 more
wiley +1 more source
16S rRNA gene sequencing reveals altered composition of gut microbiota in patients with polycystic ovary syndrome. [PDF]
Gao L, Zhang Y, Deng Q.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Gut microbiota in diarrheic and healthy calves: comparative analysis of 16S rRNA gene full-length sequences. [PDF]
Do KH +7 more
europepmc +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source

