Results 191 to 200 of about 323,905 (300)

Creating unity: linking 16S rRNA gene sequence information to the core taxonomy of genomes. [PDF]

Environ Microbiome
Vinje H, Rudi K, Snipen L.
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

The 10–23 DNAzyme in Biosensing and Diagnostics: Applications, Challenges, and Future Directions

Angewandte Chemie, EarlyView.
This review focuses on the 10–23 DNAzyme in diagnostics, spanning unregulated and regulated target‐recognition modes, and their functionalization across colorimetric, fluorescent, electrochemical, electrochemiluminescent, and intracellular biosensing strategies.
Connor Nurmi, Jake Brill, Sanne Roumans, Amal Mathai, John D. Brennan, Yingfu Li   +5 more
wiley   +2 more sources

Gut microbiota and intestinal polyps: a systematic review and meta-analysis based on 16S rRNA gene sequencing. [PDF]

Gut Pathog
Wu Q, Lu S, Wang L, Liao X, Wei D.
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
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, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Application and Limitations of 16S rRNA Gene Sequencing for Identifying WHO Priority Pathogenic Gram-Negative Bacilli. [PDF]

Infect Drug Resist
de Souza PA, Ramos JN, Vasconcellos L, Costa LV, Forsythe SJ, Brandão MLL.   +5 more
europepmc   +1 more source

Altered Nasal Microbiota in Sinonasal Tumors: A Comparative Analysis of Malignant and Benign Sinonasal Tumors

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Although shifts in nasal microbiota have been well‐documented in inflammatory upper airway conditions, microbiota tumor‐associated alterations remain uncharacterized. This study is the first to compare sinonasal microbiota profiles of patients with malignant tumors (MT), benign tumors (BT), and controls, offering insights into tumor‐
Evan A. Patel, Phillip A. Engen, Glen D. Souza, Sarah Khalife, Donyea Moore, Lauren Kret, Pedro Escobedo, Stefan J. Green, Ankur Naqib, Peter Filip, Peter Papagiannopoulos, Bobby A. Tajudeen, Mahboobeh Mahdavinia, Pete S. Batra   +13 more
wiley   +1 more source

EPheClass: ensemble-based phenotype classifier from 16S rRNA gene sequences. [PDF]

Front Bioinform
Vázquez-González L, Peña-Reyes C, Regueira-Iglesias A, Balsa-Castro C, Tomás I, Carreira MJ.   +5 more
europepmc   +1 more source

Primers used for PCR of 16S rRNA genes

#The specifics of the primers can be found in the following PDF.
openaire   +1 more source

Decoding the Pathophysiology of Autoimmune Diseases—Mechanism, Triggers, and Nanotherapeutics: A Review

Advanced NanoBiomed Research, EarlyView.
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari, Yunhui Min, Eun‐Ju Ko, Doyoung Kwon, Rehan Khan, Young‐Ok Son   +5 more
wiley   +1 more source