Mehrdad Hajibabaei

This study uses eDNA metabarcoding to assess biodiversity in an agriculturally impacted watershed, finding greater taxonomic richness and clearer land-use patterns compared to traditional morphology-based methods.

NAMERS provides a curated DNA sequence database to improve eDNA metabarcoding workflows by offering high-quality reference sequences for freshwater fish in British Columbia.

The paper uses decision tree ensembles with multivariate splits to analyze 16S amplicon sequencing data, improving the analysis of microbial community differences in Crohn's Disease and colorectal cancer patients.

MetaWorks provides a bioinformatic pipeline for processing multi-marker metabarcoding data across different domains of life, supporting various markers and taxonomic assignments.

The paper uses DNA metabarcoding to detect environmental gradients in an urban harbour, showing greater variation in species rank assessments compared to morphological methods.

The paper develops a method using HMM profile analysis to identify and remove pseudogenes from COI metabarcode datasets, improving accuracy in DNA barcoding.

This study tests if benthic kick-net sampling can be used for diatom metabarcoding, finding it comparable to traditional scraping methods and suitable for ecological monitoring.

This study compares propylene glycol-based antifreeze and ethanol as preservatives for DNA metabarcoding of benthic arthropods, finding antifreeze provides similar taxonomic coverage with simpler processing.

This study evaluates eDNA metabarcoding protocols and primer sets for detecting deep-sea fish diversity, finding that larger water volumes and multiple markers improve detection.

This study shows that COI primer choice affects arthropod richness and indicator taxa recovery in freshwater samples, suggesting multiple primer sets should be used for maximum diversity detection.

This study compares sequencing depth and platform performance in eDNA metabarcoding, finding that NovaSeq detects more biodiversity than MiSeq even at equivalent sequencing depths.

The paper develops a method to classify animal DNA metabarcodes more efficiently and accurately using a large reference database and the RDP naive Bayesian classifier.

This study demonstrates that COI metabarcoding can provide robust species-level identifications for estuarine macrobenthic communities, outperforming morphology-based methods in species richness detection.

Hybridization baits pull COI barcodes straight out of bulk terrestrial and benthic samples without PCR, recovering several more arthropod orders per sample than amplicon sequencing.