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  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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Starting Date
01
Mar 2016
Ending Date
01
Nov 2075
Status
Ongoing
Members
5
Structures
2
Publications
2

About

Sequana is a Python framework designed to provide pipelines to analyse Next Generation Sequencing data sets. Sequana provides tools to access the sequence quality but also post-processing analysis such as depth of coverage or variant detection. Latest updates are available on GitHub. Please visit the online documentation for details. As of Aug 2018, we have about 10 different pipelines from variant calling to RNA-seq analysis that are available for developers and users.

Sequana is also an incubator for research and development projects that creates synergies between developers. Examples of projects that were created within the Sequana projects are the Sequanix software: a GUI for snakemake pipelines, published in bioinformatics in 2018.


Another example is the Sequana_coverage tool that is an efficient tool used to detect and characterize genomic regions of interest within genome coverage. It can be used to efficiently detect CNV events. It takes as input BAM or BED files and creates HTML report including MultiQC reports.