Valentin Wucher

SAMI detects aberrant splicing events in short-read RNA-seq by focusing on non-recurring events in low-dimension data using a UMI-aware pipeline.

The paper investigates day-night and seasonal gene expression variation across human tissues using GTEx data, finding unique patterns in different tissues and conserved clock gene differences across species.

The paper identifies shared transcriptome alterations across neurodegenerative and psychiatric disorders using post-mortem brain samples.

The paper presents a large ASE resource from GTEx v8 with 431 million SNP-level and 153 million haplotype-level measurements, and extends phASER to estimate cis regulatory variant effect sizes.

The paper uses bulk RNA-seq data to estimate cell type abundances and identifies cell type interaction QTLs that provide finer resolution of tissue specificity than bulk cis-eQTLs.

The paper quantifies protein levels across 32 human tissues and compares them to transcriptome data, revealing insights into post-transcriptional regulation and disease mechanisms.

The paper identifies five major cell types based on transcriptional programs in human tissues and shows their composition correlates with tissue morphology and disease.

The paper investigates the role of recent gene duplications in the pea aphid Acyrthosiphon pisum, finding that most duplicates show asymmetric evolution with positive selection and gene expression divergence.

GTEx v8 maps expression and splicing QTLs in 49 tissues from 838 donors: cis-eQTLs cover 94.7% of protein-coding genes, and cross-tissue QTL sharing mirrors cell-type composition.

The paper characterizes canine lncRNAs across 26 tissues, identifies tissue-specific expression patterns, and links them to transposable elements and conserved human lncRNAs.

FEELnc annotates long non-coding RNAs and mRNAs in the dog transcriptome, identifying 10,374 novel lncRNAs and 58,640 new mRNA transcripts.