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Kaur Alasoo

Researcher Next ID · RN-028573

Researcher · Biochemistry, Genetics and Molecular Biology

Wellcome Sanger Institute

Cambridge, Estonia

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Not currently recruitingFunding unknown
Works count
152
Citation count
8,049
H-index
23
i10-index
34

Research interests

Biochemistry, Genetics and Molecular Biology
Genetic Associations and Epidemiology
Bioinformatics and Genomic Networks
Gene expression and cancer classification
Single-cell and spatial transcriptomics
Genetic Mapping and Diversity in Plants and Animals

Publications

  • ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants

    bioRxiv (Cold Spring Harbor Laboratory) · 2024 · 10.1101/2024.12.25.630221

  • FinnGen provides genetic insights from a well-phenotyped isolated population

    Nature · 2023 · https://doi.org/10.1038/s41586-022-05473-8

  • Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population

    Nature · 2023 · https://doi.org/10.1038/s41586-023-05837-8

  • Molecular quantitative trait loci

    Nature Reviews Methods Primers · 2023 · 10.1038/s43586-022-00188-6

  • FinnGen: Unique genetic insights from combining isolated population and national health register data

    medRxiv · 2022 · 10.1101/2022.03.03.22271360

  • Insights from complex trait fine-mapping across diverse populations

    medRxiv · 2021 · 10.1101/2021.09.03.21262975

  • A compendium of uniformly processed human gene expression and splicing quantitative trait loci

    Nature Genetics · 2021 · 10.1038/s41588-021-00924-w

  • Genetic effects on promoter usage are highly context-specific and contribute to complex traits

    eLife · 2019 · 10.7554/elife.41673

  • Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response

    Nature Genetics · 2018 · 10.1038/s41588-018-0046-7

  • AP-1 Takes Centre Stage in Enhancer Chromatin Dynamics

    Trends in Cell Biology · 2018 · 10.1016/j.tcb.2018.04.009

  • Computational biology: deep learning

    Emerging Topics in Life Sciences · 2017 · 10.1042/etls20160025

  • Molecular and functional variation in iPSC-derived sensory neurons

    Nature Genetics · 2017 · 10.1038/s41588-017-0005-8

  • Common genetic variation drives molecular heterogeneity in human iPSCs

    Nature · 2017 · https://doi.org/10.1038/nature22403

  • Transcriptional profiling of macrophages derived from monocytes and iPS cells identifies a conserved response to LPS and novel alternative transcription

    Scientific Reports · 2015 · 10.1038/srep12524

Current projects

    No projects listed.