Alex M. Ascensión

The paper analyzes eccDNA length distributions and breakpoint organization across multiple datasets to show that eccDNA formation is influenced by nucleosome positioning and DNA helix orientation.

This study shows that ARC acts as a retroviral-like capsid for TDP-43 spreading in ALS and FTD, and that Lenacapavir blocks this process.

The paper compares circQTLs with splicing and expression QTLs, finding stronger genomic overlap with splicing-QTLs and distinct genomic distribution patterns.

The paper evaluates circular nucleic acid detection tools, finding that combining at least three tools improves accuracy.

The paper identifies kranocytes as sensory platforms in neuromuscular junctions that connect adjacent junctions, interact with microvasculature, and respond to injury or disease.

The paper proposes a workflow to analyze bacterial transcripts in RNAseq data from blood extracellular vesicles of people with Multiple Sclerosis to improve taxonomic profiling accuracy.

This study creates a consensus single-cell transcriptomic atlas of dermal fibroblasts in humans and mice, identifying 15 human and 17 mouse populations across 5 axes each, with functional insights and species-specific differences.

The paper develops tools to quantify transcriptional noise in aging tissues and finds no universal increase in noise, but detects age-related changes in cell type composition.

Triku selects genes defining main cell populations in single-cell data by prioritizing genes expressed in closely grouped cells.

FOntCell merges cell ontologies by integrating name matching and structure mapping using graph convolution, enabling unified knowledge representation for cell classification.

BigMPI4py enables efficient parallelization of large data objects in Python, validated on DNA methylation data to identify differentially methylated CpGs across germ layers.