Hélène Touzet
CNRS research director
Cité scientifique
59655 Villeneuve d'Ascq Cedex
+33 (0)3 28 77 85 59

Algorithmic bioinformatics

The goal of my work is to develop state-of-the-art algorithms in computational biology to analyze DNA and RNA molecules, and help solving problems in biology and medicine. This covers the following topics: high throughput sequencing, metagenomics, noncoding RNA.

ORCID iD: 0000-0001-5305-9987

idHal: helene-touzet

Google scholar profile: google scholar

Software: For the full list, see the Bonsai GitHub repository, and our website


Since March 16: working from home

June 8-12, Nouan-le-Fuzelier, summer school in bioinformatics: statistics, algorithms and combinatorics for high-throughput sequencing data analysis in beautiful Sologne. All information. Postponed to 2021

Our study on the Human coronavirus OC43 (not the novel coronavirus) is now available in Journal of Clinical Virology. This work is a follow-up of A complete protocol for whole-genome sequencing of virus from clinical samples: Application to coronavirus OC43, appeared in 2019 in Virology [January 2020]

February 5, Institut Curie, Omics and Systems Biology for Health: program and registration [January 2020]

The TNPhyto project (Genetic traits required by bacterial phytopathogens for plant infection and fitness in non-agricultural habitats using high-throughput transposon sequencing) is funded by the French National Research Agency [July 2019]

Which genome browser to use to visualize my sequences ? We have conducted a comprehensive comparative analysis of seven genome browsers: Artemis, Give, IGB, IGV, Jbrowse, Tablet and UCSC genome browser. Read our report. If you think you already know everything, you can try our quiz [July 2019]

Plant microRNAs: Our work miRkwood: a tool for the reliable identification of microRNAs in plant genomes has been accepted to BMC Genomics. Discover the software (also on GitHub) [June 2019]

Want to know more about long read correction ? The paper of the ASTER consortium Comparative assessment of long-read error correction software applied to Nanopore RNA-sequencing data is now available in Briefings in Bioinformatics [June 2019]

Adapter trimming in Nanopore reads : The first release of Porechop_ABI (Porechop ab initio) is available on GitHub. This new program is an extension of the original well-known Porechop (R. Wick). The novelty is that it is able to infer the adapter sequences from the raw reads, without any external information. The algorithm uses approximate k-mers and assembly. We also maintain all other great functionalities of Porechop [June 2019]


See the webpage.


I subscribe to an open-access scientific model, and try to make all source code, publication, material and protocols available.
Do not hesitate to contact me by email for any request.