MYST


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.

TIDE 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

TIDE 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 TIDE 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 TIDE 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.

MYST MYST User guide

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
EPIK: Precise and scalable evolutionary placement with informative k-mers

EPIK: Precise and scalable evolutionary…

EPIK is a program dedicated to « Phylogenetic Placement » (PP) of metagenomic or metabarcoding reads on a reference tree. It is similar in spirit and technically the successor of RAPPAS (Linard et al. 2020). EPIK achieves identical or slightly better accuracy than RAPPAS and outperforms it in speed and flexibility. In many aspects the documentation of RAPPAS…

LoRDEC: hybrid correction of long reads

LoRDEC: hybrid correction of long…

Overview In a nutshell, LoRDEC is a program for error correcting long sequencing reads using short reads. It implements a hybrid correction approach. It uses little memory and is very efficient. Most importantly it scales up to process very large data sets. It can be applied to long reads obtained with either Pacific Biosciences SMRT…

⚠️ Online tool executions will be unavailable on June 16, 2026, from 9:00 AM due to scheduled cluster maintenance. ⚠️ This website is under construction, some information or links could be unavailable ⚠️