Results 91 to 100 of about 4,884 (222)

Phylum rarefaction curves for the analyses of 16S rRNA and metatranscriptome unique reads.

, 2016
Phylum rarefaction curves for the analyses of 16S rRNA and metatranscriptome unique reads.
Shih-Wei Lee (382046), Julia Tzu-Ya Weng (3151395), Lawrence Shih-Hsin Wu (3151398), Chin-Sheng Kuan (3151401)   +3 more
core   +1 more source

A Bait‐and‐Switch Strategy Links Phenotypes to Genes Coding for Polymer‐Degrading Enzymes in Intact Microbiomes

Microbial Biotechnology, Volume 19, Issue 4, April 2026.
A proposed workflow for identifying polymer degrading enzymes from intact microbiomes. This strategy uses a ‘bait and switch’ microcosm pulse experiment, genotype–phenotype association analyses and experimental validation of candidates to identify novel chitin degrading enzymes from soil microbial communities.
Colleen E. Yancey, Kyle D. Brumfield, Jackson A. Buss, Rita R. Colwell, Laurence Ettwiller   +4 more
wiley   +1 more source

OligoN‐Design: A Simple and Versatile Tool to Design Specific Probes and Primers From Large Heterogeneous Datasets

Molecular Ecology Resources, Volume 26, Issue 3, April 2026.
ABSTRACT High‐throughput environmental DNA sequencing has ushered ecological and evolutionary studies into the big data era. With thousands to millions of DNA sequences, designing taxon‐specific oligonucleotides is a current bottleneck of molecular studies that rely on primers for Polymerase Chain Reactions (PCRs) or probes for Fluorescence in situ ...
Miguel M. Sandin, Marie Walde, Nicolas Henry, Irene Forn, Nathalie Simon, Cédric Berney, Ramon Massana, Daniel J. Richter   +7 more
wiley   +1 more source

Metatranscriptome sequencing results for the bacterial metagenome in the sputum of moderate and severe COPD subjects.

, 2016
Metatranscriptome sequencing results for the bacterial metagenome in the sputum of moderate and severe COPD subjects.
Shih-Wei Lee (382046), Julia Tzu-Ya Weng (3151395), Lawrence Shih-Hsin Wu (3151398), Chin-Sheng Kuan (3151401)   +3 more
core   +1 more source

Activity‐Informed Network Analysis Reveals Keystone Microbes Shaping Freshwater Ecosystem Function

Environmental Microbiology Reports, Volume 18, Issue 2, April 2026.
Graphical abstract illustrating the workflow and key findings of this study. We first applied SPIEC‐EASI to metagenomic abundance data to construct microbial co‐occurrence networks and selected the top 15 MAGs based on degree centrality. We then used CARlasso to detect relationships between the top MAGs and environmental features.
Qiyao Yang, Rosa Aghdam, Patricia Q. Tran, Karthik Anantharaman, Claudia Solís‐Lemus   +4 more
wiley   +1 more source

“Candidatus Thermonerobacter thiotrophicus,” A Non-phototrophic Member of the Bacteroidetes/Chlorobi With Dissimilatory Sulfur Metabolism in Hot Spring Mat Communities

Frontiers in Microbiology, 2019
In this study we present evidence for a novel, thermophilic bacterium with dissimilatory sulfur metabolism, tentatively named “Candidatus Thermonerobacter thiotrophicus,” which is affiliated with the Bacteroides/Ignavibacteria/Chlorobi and which we ...
Vera Thiel, Vera Thiel, Amaya M. Garcia Costas, Amaya M. Garcia Costas, Nathaniel W. Fortney, Joval N. Martinez, Joval N. Martinez, Marcus Tank, Marcus Tank, Eric E. Roden, Eric S. Boyd, David M. Ward, Satoshi Hanada, Donald A. Bryant, Donald A. Bryant   +14 more
doaj   +1 more source

The top ten enriched functional categories from the metatranscriptome obtained from the RefSeq microbial genomes database.

, 2018
The top ten enriched functional categories from the metatranscriptome obtained from the RefSeq microbial genomes database.
Heebal Kim (9991), Jisung Jang (5848985), Young-Ok Kim (2248198), Bo-Hye Nam (2614876), Jung Youn Park (806405), Kelsey Caetano-Anolles (3443945), Sook Hee Yoon (673016), Woori Kwak (425016), Hawsun Sohn (5848988)   +8 more
core   +1 more source

Relative abundance of genomic contents of metabolism and their expression activities in the metagenome and metatranscriptome.

, 2020
Relative abundance of each category (A) in metabolism, (B) in carbohydrate metabolism, (C) in energy metabolism, (D) in metabolism of cofactors and vitamins, (E) in amino acid metabolism, and (F) in nucleotide metabolism.
Ho-Jin Gwak (8356641), Mina Rho (28272), Youn Wook Chung (8356638), Sungmin Moon (2471614), Ji-Hwan Ryu (1823416)   +4 more
core   +1 more source

Unraveling the lung metatranscriptome in HCT [PDF]

Blood, 2021
Alpana Waghmare, Sina A. Gharib
openaire   +2 more sources

Metatranscriptomics in the NGS Era

Transcriptomics: Open Access, 2013
Copyright: © 2014 Gorni C. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
openaire   +1 more source