Kevin J. Peterson

RNAcentral integrates literature and gene-level data to enhance non-coding RNA sequence analysis and functional understanding.

The paper analyzes genomic data from 32 animal species to explore how changes in regulatory genes and microRNAs relate to morphological complexity and disparity, finding no link between genome size and disparity but strong associations between gene loss and parasitism, and microRNA increases and complexity.

The paper investigates the correlation between loss of microRNAs, protein-coding genes, and morphological complexity in syndermatan invertebrates, finding a strong association in regressive evolution.

MirGeneDB 3.0 updates the microRNA gene database with expanded species coverage, refined nomenclature, and improved covariance models for phylogenetic analysis.

The paper presents genome assemblies for three Platynereis species to support comparative genomic studies and explore their biology.

Chromosome-scale inshore hagfish genome places 1R before the cyclostome-gnathostome split and 2R in the gnathostome stem, and reveals two cyclostome-specific duplications (CR1, CR2).

The paper introduces MirMachine, a tool that uses trained covariance models to annotate microRNA complements in genomes, enabling annotation of large and extinct genomes and assessing genome assembly completeness.

MirGeneDB 2.0 expands curated microRNA gene annotations to 45 metazoan species, revealing many false positives and missing miRNAs in previous annotations.

The paper presents genome, transcriptome, and metagenome data from Eisenia fetida to study regeneration dynamics, identifying differentially expressed genes and microbial communities.