Alessandro Cestaro

The paper introduces MOnSTER, a tool for clustering and scoring protein sequence motifs, and applies it to identify specific motifs in plant-parasitic nematode effectors.

The paper introduces LEAPH, a machine learning tool for predicting phytoplasma effector proteins, and EffectorComb, an app for analyzing these predictions, identifying 2089 putative effectors across 13 proteomes.

This study shows that L-PGDS in Schwann cells maintains myelin integrity by altering metabolism and producing ketone bodies and acetate.

The paper uses long-read sequencing to analyze microbial communities in saline lakes, finding that salinity strongly structures bacterial communities and that finer taxonomic classification reveals new insights into biogeographical patterns.

The paper presents the first haplotype-resolved reference genome of lemon, generated using Illumina and Oxford Nanopore data, and reports transcriptome analysis across multiple tissues.

The paper presents an improved genome assembly of the European pear using long-read sequencing and other techniques, resulting in a more accurate gene count.