Jacques Dainat is a bioinformatics research engineer with over a decade of experience bridging evolutionary genomics, structural biochemistry and practical pipeline engineering. He holds a PhD focused on detecting unitary pseudogenes and developed GLADX, a patented, productionized toolkit for evolutionary event detection and annotation that was commercialized via XEGEN. His work spans large-scale phylogenomics, positive selection analyses in plants, complex wheat hybridization studies, and genome annotation/assembly work at NBIS, coupled with teaching and supervision across Europe. At Alcediag he translated research into reproducible workflows and diagnostic-grade RNA editing analyses, and he continues to contribute to the bioinformatics ecosystem as a Bioconda package maintainer. Known for combining deep evolutionary insight with hands-on tool and pipeline development, he excels at turning complex genomic questions into well-documented, reusable software.
11 years of coding experience
9 years of employment as a software developer
Master, Bioinformatics, Master, Bioinformatics at Université de Montpellier
Contributions:35 reviews, 74 commits, 125 PRs in 3 years 7 months
Contributions summary:Jacques primarily focuses on maintaining and updating recipes within the Bioconda repository. Their contributions involve modifying build scripts (`build.sh`), configuration files, and test scripts for various bioinformatics tools. The user frequently merges pull requests, which include updates, fixes, and new package additions. Their work directly supports the creation and management of conda packages for bioinformatics software.
Contributions:9 releases, 3 reviews, 33 PRs in 1 year 8 months
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Jacques Dainat - Ingénieur De Recherche En Bioinformatique