A Comparison of Computationally Predicted Functional Metagenomes and Microarray Analysis for Microbial P Cycle Genes in a Unique Basalt-Soil Forest

F1000Research - United Kingdom
doi 10.12688/f1000research.13841.1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

F1000 Research Ltd

Related search

A Meta-Analysis of Soil Microbial Biomass Responses to Forest Disturbances

Frontiers in Microbiology
Microbiology
2013English

Table S2: Predicted Metagenomes

English

Key Functional Genes of Spermatogenesis Identified by Microarray Analysis

Systems Biology in Reproductive Medicine
Reproductive MedicineUrology
2012English

Effects of Soil Type and Farm Management on Soil Ecological Functional Genes and Microbial Activities

ISME Journal
EvolutionEcologySystematicsMicrobiologyBehavior
2010English

Forest Soil Microbial Functional Patterns and Response to a Drought and Warming Event: Key Role of Climate–plant–soil Interactions at a Regional Scale

Soil Biology and Biochemistry
Soil ScienceMicrobiology
2014English

Insights Into Novel Antimicrobial Compounds and Antibiotic Resistance Genes From Soil Metagenomes

Frontiers in Microbiology
Microbiology
2014English

Complementary Metagenomic Approaches Improve Reconstruction of Microbial Diversity in a Forest Soil

mSystems
EvolutionEcologyGeneticsMolecular BiologyBiochemistrySystematicsMicrobiologySimulationComputer Science ApplicationsBehaviorModelingPhysiology
2020English

Dead Fungal Mycelium in Forest Soil Represents a Decomposition Hotspot and a Habitat for a Specific Microbial Community

New Phytologist
Plant SciencePhysiology
2016English

A Comparison of Parametric and Semi-Parametric Models for Microarray Data Analysis

International Journal of Statistics in Medical Research
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy