Javier Tamames

The paper quantitatively assesses nitrogen guild stability across ocean depths using picoplankton data, finding nitrogen acquisition guilds more stable than nitrogen-redox guilds.

The paper examines how temperature and pH affect sequence diversity in microbial compartments across metagenomes from hydrothermal springs, finding pH has a stronger impact than temperature.

This study examines nitrogen cycling in an Arctic microbial community during a phytoplankton bloom, showing a shift from chemolithotrophy to chemoorganotrophy as the bloom progresses.

The paper analyzes a metagenomic time series from Arctic seawater, showing that Bacteroidetes dominate during marine spring blooms by specializing in polysaccharide degradation.

This paper introduces a rapid metagenomic analysis platform that completes sequencing and analysis of medium-size metagenomes in under a day.

M&Ms generates realistic amplicon datasets for microbial communities using ecological parameters, aiding in bioinformatic tool testing and benchmarking.

SQMtools provides an automated workflow for processing and visualizing 'omics data using R and anvi'o, enabling non-experts to generate custom plots from raw sequencing reads.

The paper evaluates taxonomic and functional annotation methods for metagenomes, finding that database completeness and sequencing depth significantly affect performance.

SqueezeMeta is a metagenomic analysis pipeline that automates all steps of metagenome and metatranscriptome analysis, enabling efficient and portable processing of microbiome data.