- Nellaker Group Research Group
I am seeking to translate the latest developments in computer vision and computational biology to clinical genetics. In this, the work is a collaborative effort to apply the latest techniques from facial recognition research to try to aid the diagnosis of rare genetic disease.
My research is driven by a long standing interest in rare genome variation and also extends to trying to identify ultra-rare somatic variants in genome sequencing.
I have a background in neuroscience, transposable element variation and computational biology.
The genomic landscape shaped by selection on transposable elements across 18 mouse strains.
Nellåker C. et al, (2012), Genome Biol, 13
High levels of RNA-editing site conservation amongst 15 laboratory mouse strains.
Danecek P. et al, (2012), Genome Biol, 13
The RNA-editing enzyme ADAR1 controls innate immune responses to RNA.
Mannion NM. et al, (2014), Cell Rep, 9, 1482 - 1494
Genetic heterogeneity in Cornelia de Lange syndrome (CdLS) and CdLS-like phenotypes with observed and predicted levels of mosaicism.
Ansari M. et al, (2014), J Med Genet, 51, 659 - 668
Transcriptional derepression of the ERVWE1 locus following influenza A virus infection.
Li F. et al, (2014), J Virol, 88, 4328 - 4337
Diagnostically relevant facial gestalt information from ordinary photos.
Ferry Q. et al, (2014), Elife, 3
Genetic heterogeneity in Cornelia de Lange syndrome (CdLS) and CdLS-like phenotypes with observed and predicted levels of mosaicism
Ansari MA. et al, (2014), Journal of Medical Genetics, 51, 659 - 668