Christopher A. Hempel

Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data

This study compares amplicon sequencing, metagenomics, and total RNA sequencing for predicting environmental stressors using machine learning, finding 16S sequencing outperforms others despite moderate performance.

Reconstruction of Small Subunit Ribosomal RNA from High-Throughput Sequencing Data: A Comparative Study of Metagenomics and Total RNA Sequencing

This study compares metagenomics and total RNA-Seq for reconstructing full-length SSU rRNA from HTS data, finding that total RNA-Seq provides more complete reconstructions.

Metagenomics vs. total RNA sequencing: most accurate data-processing tools, microbial identification accuracy, and implications for freshwater assessments

This study compares metagenomics and total RNA-Seq for microbial identification accuracy using 768 workflows, finding total RNA-Seq more accurate at lower sequencing depths and suggesting its potential for cost-effective freshwater assessments.