Dr Alan Hodgkinson
Senior Lecturer
Research interests
- Biomedical and life sciences
Contact details
Biography
We are a computational biology lab that focuses on the use of population-level data to understand variation in gene expression and post-transcriptional processing. Our current focus is understanding RNA processing in human mitochondria and the downstream functional impacts on health and disease.
Research
Bioinformatics and Population Genomics
A computational biology lab that works on identifying the genetic and molecular mechanisms underlying variation in the human mitochondrial transcriptome
Diabetic and non-diabetic Alzheimer’s disease: studying mitochondria in post-mortem brain to understand the underlying mechanisms
Diabetes can increase the risk of Alzheimer's disease (AD) through unknown mechanisms.
Project status: Ongoing
Immunometabolism (iMet) Research Interest Group (RIG)
The aim of the i-met research interest group is to stimulate novel collaborations in the field of Immunometabolism, a young but rapidly growing field of research.
Statistical and Computational Genetics and Genomics (SCGG) RIG
The SCGG Group brings together researchers at King’s who are developing and working with innovative quantitative and computational approaches for genomic discovery and its impact on human health.
Events
GenoPred and GenoDisc: Reproducible workflows leveraging GWAS summary statistics for polygenic prediction and novel functional insights
Seminar with Dr Oliver Pain
Please note: this event has passed.
Research
Bioinformatics and Population Genomics
A computational biology lab that works on identifying the genetic and molecular mechanisms underlying variation in the human mitochondrial transcriptome
Diabetic and non-diabetic Alzheimer’s disease: studying mitochondria in post-mortem brain to understand the underlying mechanisms
Diabetes can increase the risk of Alzheimer's disease (AD) through unknown mechanisms.
Project status: Ongoing
Immunometabolism (iMet) Research Interest Group (RIG)
The aim of the i-met research interest group is to stimulate novel collaborations in the field of Immunometabolism, a young but rapidly growing field of research.
Statistical and Computational Genetics and Genomics (SCGG) RIG
The SCGG Group brings together researchers at King’s who are developing and working with innovative quantitative and computational approaches for genomic discovery and its impact on human health.
Events
GenoPred and GenoDisc: Reproducible workflows leveraging GWAS summary statistics for polygenic prediction and novel functional insights
Seminar with Dr Oliver Pain
Please note: this event has passed.