Sílvia Carbonell Sala

The paper uses long-read RNA-seq from diverse human populations to reveal ancestry bias in gene annotations and shows improved transcript discovery with personal genome assemblies.

The paper introduces CapTrap-seq, a long-read sequencing method for zebrafish, improving transcriptome accuracy by capturing full-length transcripts and novel spliced isoforms.

The paper expands the lncRNA catalog using capture long-read RNA sequencing, significantly increasing the number of annotated transcripts in human and mouse genomes.

The paper introduces CapTrap-seq, a method for full-length RNA transcript sequencing, and shows it produces highly accurate transcript models in human tissues.

Benchmarking six long-read RNA-seq protocol-platform combinations and 14 tools across human, mouse, and manatee shows read length and accuracy drive isoform detection, depth drives quantification.

The paper profiles subcellular localization of nuclear-encoded mitochondrial gene products in zebrafish by analyzing RNA from different cellular fractions and quantifying transcriptomic changes in a chchd4a-/- mutation.

RATTLE reconstructs and quantifies transcripts from Nanopore sequencing without a reference genome, showing accuracy and scalability across simulated and experimental data.