Organize each candidate
Keep sample information, sequencing files, assemblies, and analysis outputs in a shared research workspace.
Microbial genome analysis
GenomeMiner connects the practical stages of microbial genome analysis so discovery teams can compare candidates without separating sequencing files, pipeline runs, quality evidence, and biological results.
Representative workflow
Build the route that matches each dataset and research objective. Every stage retains the context needed to review the candidate and continue the analysis.
Bring Illumina or Nanopore data into the workspace and review processing or quality outputs before assembly.
Input: sequencing reads → Output: processed reads and QC evidence
FASTQ inputs · read processing · NanoPlot
Choose a long-read, short-read, or hybrid assembly route appropriate to the available sequencing data.
Input: prepared reads → Output: assembled genome files
Flye · Canu · Hifiasm · Unicycler
Retain assembly assessment alongside the input reads, assembly run, and resulting genome files.
Input: assembled genomes and supporting reads → Output: assessment reports
BUSCO · Merqury · assembly outputs
Continue through taxonomy, annotation, biosynthetic gene clusters, antimicrobial resistance, plasmids, and mobile elements.
Input: assembled genomes or reads → Output: biological characterization results
MiGA Taxonomy · Prokka · BGC Identification · AMRFinderPlus · PlasmidFinder · geNomad
For microbial discovery teams
Keep sample information, sequencing files, assemblies, and analysis outputs in a shared research workspace.
Follow the same analysis route across candidates while retaining the status and outputs of each run.
Keep taxonomy, annotation, BGC, AMR, and mobile-element results associated with the candidate that produced them.
Give collaborators access to the relevant data, analysis history, and outputs when candidates are reviewed.
Discuss your project with us and we'll provide free platform access and pipeline credits matched to your data and analysis needs.