Alan Murphy
Hey, I'm Alan, a computational biologist undertaking my PhD in Dr. Nathan Skene's group in the UK Dementia Research Institute (UK DRI) at the Department of Brain Sciences, Imperial College London. I use machine learning to help us understand how genetics, epigenetics and transcriptomics interact in disease settings and to understand fundamental cellular mechanisms, such as gene regulation. I'm committed to promoting reproducbility and transparency through the development of open-access bioinformatic tools. Outside of research, I'm equally obsessive over food, craft beer and coffee. If you ever need to kill an hour, mention one of these to me.
News
4th Dec, 2023 Our re-analysis paper of the first single-cell RNA-Seq Alzheimer's disease is out in eLife! Check out an overview here.25th Sep, 2023 Presented my PhD work predicting the cell type-specific effects of genetic variants on the epigenome at the Kipoi Summit for computational regulatory computational genomics.
29th Jul, 2023 Presented a session on single-cell genomics for Alzheimer's disease as part of ADDI's Summer Learning Series.
22nd Dec, 2022 Our paper benchmarking differential expression methods for single-cell RNA-Seq is out in Nature Communications! Check out our overview here.
2nd Oct, 2021 MungeSumstats our software for the rapid standardisation and quality control of GWAS or QTL summary statistics is now out in Bioinformatics!
19th Jul, 2021 Thrilled to offically start my PhD with Dr. Nathan Skene's group in the Department of Brain Sciences, Imperial College London as part of the UK DRI!
Selected Publications
MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics
Murphy, A. E., Schilder, B. M. & Skene, N. G. Bioinformatics 37, 4593–4596 (2021)
A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis
Murphy, A. E. & Skene, N. G. Nat. Commun. 37, 7851 (2022)
Avoiding false discoveries in single-cell RNA-seq by revisiting the first Alzheimers disease dataset
Murphy, A. E., Fancy, N. & Skene, N. G. eLife 12:RP90214 (2023)