Christophe Hitte

This study introduces ANNEXA, a pipeline that improves genome annotation using long-read RNA sequencing and deep learning, identifying novel genes and transcripts in human and canine cancer cell lines.

The paper presents an improved long-read assembly of the dog reference genome, significantly enhancing contiguity and gene annotation.

The paper assembles a Great Dane genome using long-read sequencing, revealing improvements over the Boxer-derived reference and highlighting retrotransposon activity in canine genetic variation.

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.