Frontiers | Relative and Quantitative Rhizosphere Microbiome Profiling Results in Distinct Abundance Patterns
Inferring gene regulation from stochastic transcriptional variation across single cells at steady state | PNAS
Detection of differentially abundant cell subpopulations in scRNA-seq data | PNAS
Marker Gene - an overview | ScienceDirect Topics
Single-cell RNA-seq: Normalization, identification of most variable genes | Introduction to single-cell RNA-seq
Transcriptome dynamic of Arabidopsis roots infected with Phytophthora parasitica identifies VQ29, a gene induced during the penetration and involved in the restriction of infection | PLOS ONE
Shotgun Metagenomics - Marker Based Profiling | BatchX - Supercharge your research with our end-to-end bioinformatics platform.
Abundances of marker genes 16S rRNA of (a) the bacterial and (b)... | Download Scientific Diagram
Heatmap of selected marker genes for different metabolic pathways... | Download Scientific Diagram
a) PCoA of the abundance of unique OTUs per sample from the 16S marker gene sequencing data from the AGP data repository (small spheres) and the San Diego. - ppt download
Marker Gene - an overview | ScienceDirect Topics
Statistical Analysis of Metagenomics Data
Relative transcript abundances of the wounding/jasmonic acid marker... | Download Scientific Diagram
Marker Gene Identification
A robust approach to estimate relative phytoplankton cell abundance from metagenomes | bioRxiv
Single-Nucleus RNA-Seq Is Not Suitable for Detection of Microglial Activation Genes in Humans - ScienceDirect
Abundances of indicated marker genes in the two soil types of the... | Download Scientific Diagram
Overview of bacterial abundances inferred using 16S rRNA marker gene... | Download Scientific Diagram
Connecting structure to function with the recovery of over 1000 high-quality activated sludge metagenome-assembled genomes encoding full-length rRNA genes using long-read sequencing | bioRxiv
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences | Nature Biotechnology
Michael VanInsberghe on Twitter: "Cluster analysis and pseudotime ordering of these cells revealed not only the expected change in abundances of known cell-cycle marker genes, but also that the frequency of certain
Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology
IJMS | Free Full-Text | Knockdown of Quinolinate Phosphoribosyltransferase Results in Decreased Salicylic Acid-Mediated Pathogen Resistance in Arabidopsis thaliana
A neural network‐based framework to understand the type 2 diabetes‐related alteration of the human gut microbiome - Guo - 2022 - iMeta - Wiley Online Library
