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Språkvelger

Norsk

Bjørn André Bredesen-Aa

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Bjørn André Bredesen-Aa

Post-doctoral Fellow
Kavli Institute for Systems Neuroscience

bjorn.a.bredesen@ntnu.no
MTFS, Øya
Twitter ResearchGate
About Publications

About

Post-doctoral fellow in the Yaksi group.

PhD and Msc from the University of Bergen, Norway.

My current primary interests are in the development and application of analytical and machine learning algorithms for the study of connectomes and spatial transcriptomes, with particular focus on cortical and subcortical structure homologs in the zebrafish telencephalon.

I am also generally interested in the analysis of complex biological data through the lense of machine learning and wrote my PhD on the topic of modelling the sequences of Polycomb/Trithorax Response Elements, a class of epigenetic cis-regulatory elements in DNA.

Publications

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2022

  • Bredesen, Bjørn André; Rehmsmeier, Marc. (2022) Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3. PLOS ONE
    Academic article

2021

  • Bredesen, Bjørn André; Rehmsmeier, Marc. (2021) MOCCA: a flexible suite for modelling DNA sequence motif occurrence combinatorics. BMC Bioinformatics
    Academic article

2020

  • Bredesen, Bjørn André. (2020) Modelling the structure, function and evolution of Polycomb/Trithorax Response Elements. Universitetet i Bergen Universitetet i Bergen
    Doctoral dissertation

2019

  • Bredesen, Bjørn André; Rehmsmeier, Marc. (2019) DNA sequence models of genome-wide Drosophila melanogaster Polycomb binding sites improve generalization to independent Polycomb Response Elements. Nucleic Acids Research (NAR)
    Academic article

Journal publications

  • Bredesen, Bjørn André; Rehmsmeier, Marc. (2022) Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3. PLOS ONE
    Academic article
  • Bredesen, Bjørn André; Rehmsmeier, Marc. (2021) MOCCA: a flexible suite for modelling DNA sequence motif occurrence combinatorics. BMC Bioinformatics
    Academic article
  • Bredesen, Bjørn André; Rehmsmeier, Marc. (2019) DNA sequence models of genome-wide Drosophila melanogaster Polycomb binding sites improve generalization to independent Polycomb Response Elements. Nucleic Acids Research (NAR)
    Academic article

Report

  • Bredesen, Bjørn André. (2020) Modelling the structure, function and evolution of Polycomb/Trithorax Response Elements. Universitetet i Bergen Universitetet i Bergen
    Doctoral dissertation

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