Author

Angelica Lindlöf

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University of SkövdeORCID 0000-0003-1837-429XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Activity by Year

2025-2025 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 30, 2025

Know your RNA-Seq data in depth: a case study using data from early life stress in mouse

Angelica Lindlöf

The paper performs a detailed quality assessment of RNA-Seq data from a mouse dataset, highlighting the importance of variant profiling and alignment quality metrics.

DOI 10.1101/2025.06.30.654452

mousebulk RNA-seq

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