Dr Alfredo Iacoangeli
Research Fellow in Translational Bioinformatics
After a career in Biophysics, Dr. Alfredo Iacoangeli accepted his PhD “cum laude” in Life Sciences in January 2016 from “Sapienza” University of Rome where he worked on structural bioinformatics with a particular focus on protein structure prediction and protein-peptide interaction. He joined King’s College London in March 2016 and he is now the Bioinformatics lead of a joint project between the Department of Basic and Clinical Neuroscience and the Health Informatics Unit at the Institute of Psychiatry, Psychology & Neuroscience at King’s College London. The aim of this project is twofold: 1) the development of a high throughput gene, environment and epigenetics database and analysis system for international MND/ALS research; 2) the use of large multi-omics datasets to identify subgroups MND/ALS patients with homogeneous disease causes and clinical phenotype, and to gain new insights into the disease pathogenesis. Dr. Iacoangeli is first author of several scientific articles in the field of Structural and Genomic Bioinformatics and MND/ALS genetics.
Bioinformatics (both genomics and structural biology); Genetics of complex diseases; Big Biodata; Precision medicine; Machine learning.
- An assessment of bioinformatics tools for the detection of human endogenous retroviral insertions in short-read genome sequencing data
- Telomere length analysis in amyotrophic lateral sclerosis using large-scale whole genome sequence data
- RetroSnake: A modular pipeline to detect human endogenous retroviruses in genome sequencing data
- A polymorphic transcriptional regulatory domain in the amyotrophic lateral sclerosis risk gene CFAP410 correlates with differential isoform expression
- Characterisation of retrotransposon insertion polymorphisms in whole genome sequencing data from individuals with amyotrophic lateral sclerosis