<scp>CellRegMap</scp> : a statistical framework for mapping context‐specific regulatory variants using <scp>scRNA</scp> ‐seq-Reference-Cited by-同舟云学术

CellRegMap : a statistical framework for mapping context‐specific regulatory variants using scRNA ‐seq

Published:2022-08 Issue:8 Volume:18 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Molecular Systems Biology

Author:

Cuomo Anna S E¹²^ORCID,Heinen Tobias³⁴⁵,Vagiaki Danai³⁴⁶,Horta Danilo¹,Marioni John C¹²⁷,Stegle Oliver¹²³⁴^ORCID

Affiliation:

1. European Bioinformatics Institute (EMBL‐EBI) Cambridge UK

2. Wellcome Sanger Institute Cambridge UK

3. Division of Computational Genomics and Systems Genetics German Cancer Research Centre (DKFZ) Heidelberg Germany

4. European Molecular Biology Laboratory (EMBL) Genome Biology Heidelberg Germany

5. Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany

6. Faculty of Biosciences Heidelberg University Heidelberg Germany

7. Cancer Research UK Cambridge Institute Cambridge UK

Funder

European Commission

Deutsches Krebsforschungszentrum

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.202110663

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5. Optimizing expression quantitative trait locus mapping workflows for single-cell studies

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