Christian Brueffer

Christian Brueffer

Biomedical Data Scientist

SAGA Diagnostics

Lund University

Biography

I am a Biomedical Data Scientist currently working as Senior Bioinformatician at the cancer diagnostics company SAGA Diagnostics. Additionally I conduct research in affiliation with Lund University in Sweden.

My research focuses on the development of diagnostics based on tumor DNA/RNA deep sequencing (also known as next generation sequencing) to improve treatment and survival of cancer patients. Most of my projects are embedded in the Sweden Cancerome Analysis Network–Breast (SCAN-B) breast cancer study. Additionally I work on improving open source bioinformatics and reproducible research infrastructure by contributing to projects such as conda-forge, Bioconda, and Biopython.

Over the past 20 years I have contributed to a number of open source software projects, most notably the FreeBSD computer operating system. A rough overview can be found on OpenHub.

Interests
  • Data Science and Bioinformatics
  • Cancer Biology and Diagnostics
  • Open Source Software
  • Software Engineering
Education

  • PhD in Medical Science and Cancer Genomics

    Lund University, Sweden

  • MSc in Bioinformatics

    Lund University, Sweden

  • BSc in Scientific Programming

    Aachen University of Applied Sciences, Germany

Projects

PhD Project: RNA Sequencing-based Tools for Breast Cancer Diagnostics

PhD Project: RNA Sequencing-based Tools for Breast Cancer Diagnostics

My PhD work in developing RNA sequencing-based diagnostic tools for breast cancer.

SCAN-B MutationExplorer

SCAN-B MutationExplorer

A web-based application for exploring tumor somatic mutations.

FreeBSD

FreeBSD

I have been a developer with the FreeBSD operating system project since 2003. This page collates some related links.

Recent & Upcoming Talks

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May 29, 2020
Defining the Mutational Landscape of 3,217 Primary Breast Cancer Transcriptomes through large-scale RNA-seq within the Sweden Cancerome Analysis Network: Breast Project (SCAN-B; NCT03430492)
Project Project
Nov 4, 2019
Defining the Mutational Landscape of the Primary Breast Cancer Transcriptome through large-scale RNA-seq in the Sweden Cancerome Analysis Network–Breast (SCAN-B) Project
Project Project
May 23, 2019
Towards Better Breast Cancer Diagnostics: Large-scale Profiling of Tumor Transcriptomes
Project Project
See all

Featured Publications

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Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer
More than three-quarters of primary breast cancers are positive for estrogen receptor alpha (ER; encoded by the gene ESR1), the most …
Malin Dahlgren, Anthony M. George, Christian Brueffer, Sergii Gladchuk, Yilun Chen, Johan Vallon-Christersson, Cecilia Hegardt, Jari Häkkinen, Lisa Rydén, Martin Malmberg, Christer Larsson, Sofia K. Gruvberger-Saal, Anna Ehinger, Niklas Loman, Åke Borg, Lao H. Saal
PDF Dataset DOI Press Release
Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer
The mutational landscape of the SCAN-B real-world primary breast cancer transcriptome
Breast cancer is a disease of genomic alterations, of which the panorama of somatic mutations and how these relate to subtypes and …
Christian Brueffer, Sergii Gladchuk, Christof Winter, Johan Vallon-Christersson, Cecilia Hegardt, Jari Häkkinen, Anthony M. George, Yilun Chen, Anna Ehinger, Christer Larsson, Niklas Loman, Martin Malmberg, Lisa Rydén, Åke Borg, Lao H. Saal
Preprint PDF Code Dataset Project DOI Press Release
The mutational landscape of the SCAN-B real-world primary breast cancer transcriptome
Features of increased malignancy in eosinophilic clear cell renal cell carcinoma
Clear cell renal cell carcinoma (ccRCC) is the most common form of renal cancer. Due to inactivation of the von Hippel–Lindau tumour …
Helén Nilsson, David Lindgren, Håkan Axelson, Christian Brueffer, Lao H. Saal, Jaana Lundgren, Martin Johansson
PDF DOI
Features of increased malignancy in eosinophilic clear cell renal cell carcinoma
Clinical Value of RNA Sequencing-Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network–Breast Initiative
In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth …
Christian Brueffer, Johan Vallon-Christersson, Dorthe Grabau, Anna Ehinger, Jari Häkkinen, Cecilia Hegardt, Janne Malina, Yilun Chen, Pär-Ola Bendahl, Jonas Manjer, Martin Malmberg, Christer Larsson, Niklas Loman, Lisa Rydén, Åke Borg, Lao H. Saal
PDF Cite Dataset Project DOI
Clinical Value of RNA Sequencing-Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network–Breast Initiative

Popular Topics

Bioconda Breast Cancer COVID-19 FreeBSD Genome in a Bottle Kidney Cancer Liquid Biopsy Machine Learning Open Source Software PhD RNA Sequencing SARS-CoV-2 SCAN-B

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