Irina N. Bessarab

Toward industrial C8 production: Oxygen intrusion drives renewable n caprylate production from ethanol and acetate via intermediate metabolite production

This study identifies oxygen's role in enabling renewable n-caprylate production from ethanol and acetate via intermediate metabolite synthesis in bioreactors.

Rapid Nanopore cloud-based monitoring and analysis of commercial aquaculture microbiomes

This study uses rapid nanopore sequencing and cloud-based analysis to monitor aquaculture microbiomes, revealing nitrogen-associated organisms and their role in nitrification.

Exploring the genetic architecture of ecophysiological traits in microbial ecology using statistical analysis of the properties of protein sequences: application to the glycogen accumulating organism (GAO) phenotype

The paper analyzes protein sequence properties of the glgB gene to identify structural genetic variation associated with a glycogen accumulating phenotype in microbes.

A draft genome of the ascomycotal fungal species Pseudopithomyces maydicus (family Didymosphaeriaceae)

The paper presents a draft genome of Pseudopithomyces maydicus, identifying gene models and biosynthetic gene clusters.

Analysis procedures for assessing recovery of high quality, complete, closed genomes from Nanopore long read metagenome sequencing

The paper describes methods to validate long read assembled genomes using short read metagenome assembled genomes and assesses correction procedures' impact on genome quality, contributing new closed genomes from wastewater bioprocesses.

Annotated bacterial chromosomes from frame-shift-corrected long read metagenomic data

The paper demonstrates obtaining whole bacterial chromosomes from metagenomic samples using long-read sequencing and presents a pipeline with frame-shift correction.

Improving recovery of member genomes from enrichment reactor microbial communities using MinION--based long read metagenomics

The paper demonstrates that MinION long read sequencing can recover near-complete genomes from low-medium complexity microbial communities.

MEGAN-LR: New algorithms allow accurate binning and easy interactive exploration of metagenomic long reads and contigs

MEGAN-LR provides new algorithms for taxonomic and functional binning of long reads and contigs, with evaluation on simulated and real datasets.