Sebastian Uhrig
Bioinformatician
Rhein-Neckar Metropolitan Region Germany
Summary
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Rockstar🎓
Top SchoolSebastian Uhrig is a bioinformatician with nine years of experience applying strong computational engineering to age-associated disease, healthy ageing and rejuvenation research across academia, industry and startups. He blends hands-on algorithm and back-end development—evidenced by contributions to the widely used STAR RNA-seq aligner around chimeric read handling and BAM output—with translational bioinformatics roles at DKFZ and Altos Labs. Comfortable in both small teams and large organizations, he moves between systems, data analysis and tool development while keeping a clear focus on biological impact. With dual training in informatics and molecular biology and an ongoing freelance practice, he’s available to partner with groups pursuing longevity science and reproducible computational workflows.
9 years of coding experience
17 years of employment as a software developer
Bachelor, Angewandte Informatik, Bachelor, Angewandte Informatik at Duale Hochschule Baden-WürttembergDoktor der Philosophie, Bioinformatics, Doktor der Philosophie, Bioinformatics at Ruprecht-Karls-Universität Heidelberg / Heidelberg UniversityMaster, Bioinformatics, Master, Bioinformatics at Johannes Gutenberg-Universität Mainz
Github Skills (3)
cprogramming-language10
bioinformatics10
c-language10
Programming languages (11)
Github contributions (5)
alexdobin/STAR
Jan 2020 - Dec 2021
RNA-seq aligner
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 3 PRs, 20 comments in 1 year 11 months
Contributions summary:Sebastian primarily contributed to the development of the RNA-seq aligner by implementing features related to chimeric read handling and BAM output. They focused on reporting multi-mapping chimeric reads and modified existing code to integrate chimeric read information within the BAM format. The user also addressed bugs and added functionality for merged PE chimeric alignments, expanding the capabilities of the aligner. The changes involve modifications to core alignment logic and output formats.
python-bindingsalignersequencinggenomicsbioinformatics
suhrig/arriba
Jul 2016 - Dec 2022
Fast and accurate gene fusion detection from RNA-Seq data
Contributions:16 releases, 682 commits, 7 PRs in 6 years 6 months
bioinformaticsrnarnaseqgene-fusionscancer
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