Rachel J. Dutton

The sourmash Python package produces many outputs that describe the content and similarity of sequencing data. We developed a new R package, sourmashconsumr, that lets a wider range of users easily load, analyze, and visualize those outputs in R.

How do you approach getting a microbiome set up in a new lab? We’re sharing protocols for how we collected, stocked, and sequenced a set of cheese rind microbiomes and generated a high-quality metagenomics resource for future computational studies.

Seeing how microbes are organized within a community can inspire hypotheses about how species interact with each other. We used HiPR-FISH spatial imaging to look at the distribution of microbes within five distinct microbial communities growing on the surface of aged cheeses.

We want to seamlessly process and summarize metagenomics data from Illumina or Nanopore technologies. We built a Nextflow workflow that handles common metagenomics tasks and produces useful outputs and intuitive visualizations.

We are interested in neuroactive metabolites that influence animal behavior. Some fungi have horizontally transferred neuroactive metabolite pathways between species. We used a horizontal gene transfer detection pipeline to screen for novel fungal genes tied to neuroactivity.

Horizontal gene transfer (HGT) is the exchange of DNA between species. It can lead to the acquisition of new gene functions, so finding HGT events can reveal genome novelty. preHGT is a pipeline that uses multiple existing methods to quickly screen for transferred genes.

We sampled cheese microbial communities to discover bacteriophages with unusual genome chemistries. We isolated 114 bacterial host strains and 17 phages, and identified one phage with a probable arabinose hypermodification of hydroxymethylcytosine.

Hoping to find proteins that alter physiology in useful ways, we screened venom data sets for toxins fused to domains with additional functionality. We identified candidates, but struggled to infer any novel functions, and none seem well-conserved across venomous species.

We implemented a lightweight method to identify viruses in 342 human brain bulk and single-cell sequencing data sets, and identified two glioblastoma cells from a single patient that contained deltapolyomavirus sequences.

Some human proteins are encoded by genes with repetitive sequences, which, if they expand, damage the nervous system and cause disorders like Huntington’s disease. We found animals with similar proteins that have more repeats than we’ve ever seen in healthy people.

The ProteinCartography pipeline identifies proteins related to a query protein using sequence- and structure-based searches, compares all protein structures, and creates a navigable map that can be used to look at protein relationships and make hypotheses about function.

We previously released a draft genome assembly for the lone star tick, A. americanum. We've now predicted genes from this assembly to use for downstream functional characterization and comparative genomics efforts.

Inspired by wasps co-opting viral capsids to deliver genes to the caterpillars they parasitize, we looked for capsid-like proteins in other species. We found capsid homologs in ticks and other parasites, suggesting this phenomenon could be wider spread than previously known.