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.
- C9orf72 intermediate expansions of 24–30 repeats are associated with ALS
- DNAscan: Personal computer compatible NGS analysis, annotation and visualisation
- Telomere length is greater in ALS than in controls: A whole genome sequencing study
- ALSgeneScanner: a pipeline for the analysis and interpretation of DNA sequencing data of ALS patients
- Exome sequencing in amyotrophic lateral sclerosis implicates a novel gene, DNAJC7, encoding a heat-shock protein