MYST : Manage Your Scientific Tools


What is MYST?

MYST is the orchestration platform behind ATGC online bioinformatics services. It provides a unified web interface and a public REST API to submit analyses, monitor jobs, and retrieve results across a growing catalog of phylogenetic and sequence-analysis tools.

MYST is a modernized redesign of WAVES, an older tool previously developped by ATGC and now abandoned. It keeps the same general objective of exposing scientific tools as online services, while moving to a more modern, maintainable, and extensible platform.


MYST on the ATGC website

MYST is the engine that powers the online execution proposed on the dedicated pages of several ATGC tools. When you submit a job from one of these tool pages, it is MYST that manages the service description, input validation, job submission, execution tracking, and result retrieval behind the scenes.


What MYST provides

  • A public REST API for programmatic submissions and monitoring.
  • A web interface for interactive use.
  • Reproducible execution of tools packaged as portable runtime environments.
  • Service-specific forms and structured input schemas.
  • Downloadable recipes and reference resources for selected services.
  • Job tracking, status updates, and result retrieval.

Current usage policy

At the moment, Myst is limited to 5 jobs per user per hour. This helps us keep the platform stable while the service catalog is growing.

If you need access to more resources or expect heavier usage, please contact us. We can discuss specific needs depending on the project, the service, and the computational load involved.


Why it matters

MYST helps bridge the gap between command-line bioinformatics tools and production-ready scientific services. It allows ATGC to expose tools through a stable interface while keeping execution traceable, reproducible, and suitable for both end users and automated pipelines.


Current status and roadmap

For now, MYST is primarily developed to address the specific needs of the ATGC platform and its service ecosystem.

A more general, publicly distributable version is planned for future release. If you are interested in deploying or evaluating MYST outside the current ATGC context, please contact us.


Access points


Typical usage

  1. Discover available services through the API.
  2. Inspect the submission schema of a service.
  3. Submit a job from the web interface or from the command line.
  4. Monitor execution through JSON status checks or live event streaming.
  5. Retrieve final outputs and integrate them into downstream analyses.

For developers and pipeline users

MYST is especially useful when you need to integrate ATGC services into scripts, workflows, or external platforms. The public API exposes machine-readable service descriptions, structured submission endpoints, and result-tracking endpoints suitable for automation.

Read the documentation page for API entry points, recommended workflow, and ready-to-use command-line examples.


CompPhy

CompPhy

CompPhy: a web-based collaborative platform for comparing phylogenies CompPhy is a web platform dedicated to the collaborative handling of phylogenetic trees. Users can freely manage collections of trees and communicate on a common project. By collaborative, we mean that several users connected to the same project can manipulation at the same time trees from shared…

Data visualisation Phylogenomics Phylogeny Phylogenetic analysis Phylogenetic sub/super tree construction Phylogenetic tree editing Gene tree newick Nexus format
AQUAPONY

AQUAPONY

AquaPony: interactive visualization of phylogeographic scenarios AquaPony is a web application designed to explore and interpret evolutionary scenarios on annotated phylogenetic trees (for example, ancestral geographic states). It was built to make uncertainty in ancestral reconstructions easier to understand and communicate. Why AquaPony? In phylogeography, several scenarios can be nearly as plausible as the best…

TFscope

TFscope

Characterizing the binding preferences of transcription factors (TFs) in different cell types and conditions is key to understand how they orchestrate gene expression. TFscope is a machine learning approach that identifies sequence features explaining the binding differences observed between two ChIP-seq experiments targeting either the same TF in two conditions or two TFs with similar…

DNA binding sites Machine learning Transcription factors and regulatory sites Transcriptional regulatory element prediction JASPAR profile ID BED FASTA meme-motif