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@BorchLab

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ncborcherding/README.md

Hi, I'm Nick Borcherding

Assistant Professor | Computational Immunologist | Tool Builder

Washington University · Department of Pathology & Immunology

Website Google Scholar Lab

About Me

I work at the intersection of computational biology and immunology, developing tools and methods to decode immune responses from high-dimensional data.

  • MD/PhD — University of Iowa (Medical Scientist Training Program)
  • Residency & Postdoc — Washington University PSTP (co-mentored by Jon Brestoff & David DeNardo)
  • Fellowship - Histocompatibility and Immunogenetics
  • Focus — Innate cellular barcodes (mitochondrial genomes, immune receptor sequences) for tracking immune responses and predicting clinical outcomes

Software

I build R/Bioconductor packages for single-cell immune analysis:

scRepertoire
TCR/BCR repertoire analysis
 escape
Gene set enrichment
 Trex
TCR deep learning
 Ibex
BCR deep learning

In development: immApex · immReferent · deepMatchR · bHIVE

GitHub Stats

Nick's GitHub stats

Get in Touch

  • Bug reports or feature requests? Open an issue on the relevant repo
  • Collaboration inquiries? Reach out via my website
  • Publications? PDFs available at borch.dev
Building tools to decode the immune system 🧬

Pinned Loading

  1. BorchLab/scRepertoire BorchLab/scRepertoire Public

    A toolkit for single-cell immune profiling

    R 362 67

  2. BorchLab/escape BorchLab/escape Public

    Easy single cell analysis platform for enrichment

    R 208 24

  3. utility utility Public

    Collection of Tumor-Infiltrating Lymphocyte Single-Cell Experiments with TCR

    R 104 7

  4. BorchLab/Trex BorchLab/Trex Public

    Using TCR and expression for sequence embedding

    R 62 6

  5. BorchLab/Ibex BorchLab/Ibex Public

    Using BCR and expression for sequence embedding

    R 25 4

  6. BorchLab/immApex BorchLab/immApex Public

    Tools for Adaptive Immune Receptor Sequence-Based Machine and Deep Learning

    R 12 1