GenoLoom turns Nextflow DAGs, traces, logs, reports, and timelines into one visual debugging surface. Move from failure to root cause without digging through work directories.
Early access for bioinformatics teams running Nextflow locally or on shared infrastructure.
// How it works
GenoLoom keeps the familiar Nextflow artefacts, but gives them a visual interface built for debugging, review, and team handover.
Upload a Nextflow dag.dot and trace.txt, or launch approved nf-core workflows locally from the workbench.
Switch between a clean process view and the full task-level DAG. See status, counts, and dependencies at a glance.
Highlight failed paths, identify likely root cause nodes, and separate the first failure from downstream noise.
// Core capabilities
Collapse noisy task graphs into readable process nodes, then jump into the full DAG when you need task-level detail.
Trace failed execution through the workflow and identify likely root cause steps before chasing downstream symptoms.
Open any process to inspect its underlying tasks, status counts, duration, hashes, and execution metadata.
Inspect .command.sh, stdout, stderr, Nextflow reports, and timelines directly inside the app.
Run approved nf-core workflows locally and keep sensitive data inside your own environment.
Make complex pipeline runs easier to explain, hand over, review, and debug across bioinformatics teams.
// Workbench
Approved local workflows, parameter forms, and richer nf-core integration as the workbench grows.
// Who it's for
Debug production and research workflows faster. Keep the graph, task metadata, logs, reports, and timelines in one place.
Give scientists and support staff a clearer way to understand failed runs without handing everyone a terminal and a work directory.
Run locally where data governance matters. GenoLoom is designed around local-first execution and controlled workflow entry points.
// Early access
Join the early access list for the local version, demo data, and setup notes. Designed for teams who want to debug Nextflow without sending data elsewhere.