Kristján Eldjárn Hjörleifsson

The paper detects viral sequences in single-cell data to identify novel viruses affecting host gene expression in rhesus macaques.

The paper describes using kallisto, bustools, and kb-python to quantify RNA-seq data from bulk, single-cell, and single-nucleus samples.

The paper introduces a method to discover associations between novel gene isoforms and phenotypes without relying on existing annotations.

This paper introduces a method to improve RNA-seq quantification by expanding the transcriptome reference to include both nascent and mature mRNA and using distinguishing flanking k-mers to enhance mapping accuracy.

The paper presents a modular and efficient workflow for single-cell RNA-seq pre-processing using kallisto and bustools, demonstrating its flexibility for RNA velocity analyses.

The paper identifies recurrent de novo mutations in sibling pairs and estimates their recurrence probabilities based on various factors.

Graphtyper efficiently genotypes sequence variants in large populations using pangenome graphs, achieving high accuracy and scalability.