We develop computational workflows and tools to help us analyze multi-omics data and make sense of amplicon and genomic data. Click on the badges below to learn more about each of the workflows and tools.
A module for human metapneumovirus (HMPV) to be used with IRMA. The consensus sequences are derived from all whole genomes available on GenBank on October 18, 2024.
A protocol for RSV-A and RSV-B sequencing that consists of two pools of overlapping amplicons. It is designed to work with current Arctic SARS-CoV-2 protocols.
An R-based workflow for assembling COVID-19 genome sequences from Nanopore or Illumina sequence data.
Scripts and reference files needed to make consensus sequences for Influenza, SARS-CoV-2, and RSV.
Snakemake workflow for quality control and contamination detection of microbial Illumina whole-genome sequencing (WGS) data
Snakemake workflow for quality control and assembly of Nanopore (long-read) sequencing data.
Snakemake workflow for hybrid assembly using cleaned Illumina short reads and Nanopore long reads
Snakemake workflow for microbial variant calling
Snakemake workflow for quality control of datasets downloaded from public repositories such as NCBI and SRA
Collection of standard operating procedures (SOPs) for processing short-read, long-read, and hybrid bacterial sequencing data
Snakemake workflow for recombination detection and phylogenetic tree reconstruction from a sequence alignment
Snakemake pipeline for de novo assembly and annotation of C. auris short-read sequencing data.
Snakemake pipeline for de novo assembly and annotation of C. auris long-read sequencing data.
Snakemake pipeline for de novo hybrid assembly and annotation, using a combination of C. auris long-read and short-read data.
Set of scripts to standardize the output of multiple different runs of the above C. auris assembly pipelines.
Tool to generate large numbers of synteny dotplots, to aid in visualizing structural variation across assemblies.
An R package that leverages ancestral state reconstruction and other phylogenetically-informed algorithms to characterize the evolutionary history of genome-influenced traits and investigate phenotype-genotype associations.
New functionality included in this phylogenetics package as part of MIDGE to incorporate uncertainty into joint ancestral reconstruction analysis.