Created in 2015 by four academics, Hedera-22 offers all services related to the analysis of biological data assisted by computers.
Hedera-22 offers all services related to the computational analysis of biological data.
Omics
We can assist and advise our clients at every stage of the project: from the design of the sequencing strategy (technology, libraries, depth) to the assembly of the raw sequences (genomes and transcriptomes), but also in the scientific exploitation of the generated data (gene prediction and functional annotation, identification of polymorphisms, epigenetic analyses, differential expression analyses, evolutionary comparisons and phylogenetic trees). We also have expertise in proteomic data analyses.
Finally, we are familiar with all kind of biological entities (prokaryotes, unicellular and pluricellular eukaryotes, as well as viruses).
Data mining
We develop tailored solutions for both customer-generated and publicly available data (such as automating database queries and data mining). These solutions are proposed as services or can be bundled as software packages.
Software
In the past few years, Hedera-22 has been working on the development of original and user-friendly bioinformatics tools.
Software
PREDetector is aimed at identifying putative transcription factor-binding sites (TFBS) in bacterial genomes. It allows users to freely specify the DNA-motif screening parameters and provides statistical means to estimate the reliability of its predictions. This new version offers an interactive tabular view as well as graphical widgets to fine tune the screening parameters in real time (with immediate update of the list of identified putative TFBS).
This webtool is freely avalaible here: http://predetector.hedera22.com
The pre-print publication describing PREDetector is available here: https://doi.org/10.1101/084780
Learn how to use PREDetector with our videos.
PRESelector is designed to help finding proteins/enzymes/activities in organisms growing at specific temperature and pH conditions. The physiological data of the organisms are gathered from several strain collections (ATCC, DSMZ BacDive, NCYC, BCCM) while protein sequence related data are collected from Uniprot. Input data is either the name of the protein, an EC number or a protein sequence.
This webtool is freely avalaible here: http://preselector.hedera22.com.
You can request a login user name and password @ info@hedera22.com
About us
Co-founder
Denis Baurain
BA in Sofware Engineering. Ph.D in Sciences, Plant Molecular Biology. Comparative genomics and phylogenomics, Linux, Perl, High-Performance Computing.
Co-founder
Marc Hanikenne
Ph.D in Sciences, Plant Molecular Biology. Genomics and transcriptomics, assembly and variant analyses
Co-founder
Sébastien Rigali
Ph.D in Sciences, Molecular Bacteriology. Natural Products. Regulatory Networks, Genome Mining.
Co-founder
Pierre Tocquin
Ph.D in Sciences, Plant Physiology. Data-mining, databases, Linux, R, Web technologies
Project Leader Bioinformatics
Aymeric Naomé
M. Sc. in Chemistry, Molecular Modeling. Bioinformatician
Project Leader Metabolomics
Loic Martinet
M.S. in biochemistry and molecular and cell biology. Mass spectrometry and chromatography. Bacterial natural products. Genome mining.