Lonneke Scheffer, PhD🧬💻

@LonnekeScheffer

Postdoctoral researcher @ La Jolla Institute for Immunology ~ Computational Immunology ~ Developer of @immuneml

LJI (San Diego) immuneml.uio.no Joined September 2019

181 Following 305 Followers 97 Posts

Latest posts 5

Lonneke Scheffer, PhD🧬💻 @LonnekeScheffer 2d

Our IEDB receptor data cleanup is now published in NAR! 🥳 🎉 doi.org/10.1093/nar/gk…

We standardized inconsistencies and manually re-curated anomalous data from 800+ studies. The epitope-specific receptor data are far more consistent, and should prevent a lot of frustrations!

Lonneke Scheffer, PhD🧬💻 @LonnekeScheffer Jun 6

Head's up to immune receptor researchers: our new bioRxiv preprint describes major improvements to epitope-specific TCR/BCR data in the IEDB!

- Re-curation and standardization of receptor data
- Improved receptor search interface
- AIRR-compliant exports

biorxiv.org/content/10.648…

Lonneke Scheffer, PhD🧬💻 @LonnekeScheffer May 1, 2025

In preparation for #AAI #immunology2025 I’ve designed these super cute labels for #mAcademia nuts - thanks Peters lab for helping out with the labelling!
Visit booths #535 & #537 to get your hands on them & learn more about @iedb_ @CEDAR_epitopes @hipcProject @AIRR_Knowledge

Lonneke Scheffer, PhD🧬💻 @LonnekeScheffer Oct 23, 2024

I'm super excited to share my latest paper "Predictability of antigen binding based on short motifs in the antibody CDRH3", now out in briefings in bioinformatics doi.org/10.1093/bib/bb…

academic.oup.com Predictability of antigen binding based on short motifs in the antibody CDRH3 Abstract. Adaptive immune receptors, such as antibodies and T-cell receptors, recognize foreign threats with exquisite specificity. A major challenge in ad

Lonneke Scheffer, PhD🧬💻 @LonnekeScheffer Apr 30, 2024

the immuneML documentation has gotten an update :) better documentation for new developers, and a cleaner look!

immuneML @immuneml Apr 29, 2024

Are you developing new machine learning methods for immune receptor/repertoire data? You can save yourself a lot of time by developing your method inside immuneML. Read all about it in our updated documentation: docs.immuneml.uio.no/latest/develop… (1/3)
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