WAVES




Summary

WAVES is a web application dedicated to bioinformatic tool integration. It provides an efficient way to implement a service for any bioinformatic software. Such services are automatically made available in three ways: web pages, web forms to include in remote websites, and a RESTful web services API to access remotely from applications. In order to fulfill the service’s computational needs, WAVES can perform computation on various resources and environments, such as Galaxy instances.

Availability and implementation

WAVES was developed with Django, a Python-based web framework. It was designed as a reusable web application. It is fully portable, as only a Python installation is required to run Django. It is licensed under GNU General Public License version 3.

WAVES components

WAVES-core

This is the main WAVES component.

WAVES-Galaxy

This is a WAVES adapter dedicated to Galaxy. Using the BioBlend python library, this adapter enables Galaxy services import into WAVES-core. WAVES-Galaxy automatically recognizes the tools available in a Galaxy instance.

WAVES-demo

This is a custom WAVES instance for demo purpose. It was created to show what could be done with Django functionalities to custom a WAVES installation.

The changes that have been made are:

  • Use a different skin for the back-office interface.
  • Custom front-end interface.
  • Override the Service class.
  • Override the Authentication class.

Please note that anyone can login the back-office administration interface and create new services. Thus, for security reasons, we intentionally deactivated the jobs running procedure.

WAVES Singularity image

This is a Singularity container with a functional WAVES installation including two pre-configured services (‘Hello world’ and ‘PhyML’). For testing purpose.

Contact

You may contact the WAVES support by e-mail : waves [at] lirmm.fr

WAVES WAVES Papers & contacts

RSCU_RS: Measuring the bias in codon usage from ribosomal activity

RSCU_RS: Measuring the bias in…

Overview Overview: In the protein coding sequences of a species, the 61 possible codons of the genetic code are not equally distributed. This observation is referred to as the Codon Usage Bias (CUB) of a species. Several measures have been proposed to quantify the CUB using the frequencies of codons in all RNA coding sequences…

Bioinformatics Comparative genomics Computational biology Codon usage analysis Codon usage bias Expression data RNA sequence BAM
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…

PEWO: a collection of workflows to benchmark phylogenetic placement

PEWO: a collection of workflows…

Introduction and context In the Bioinformatics team of the LIRMM (CNRS & Univ. Montpellier), we develop a series of tools for metagenomics / metabarcoding analysis. Our tools exploit phylo-k-mers (which are k-mers combined with phylogenetic information) computed for an input set of reference sequences and their phylogeny. The phylo-k-mers are computed and indexed with IPK,…

Biodiversity Bioinformatics Evolutionary biology Molecular evolution Taxonomic classification Genome accession RNA sequence FASTA FASTQ newick