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Core Bioinformatics group


MMathCompSci and BA Mathematics and Computer Science (2020) 



I completed an integrated masters in Mathematics and Computer Science at the University of Oxford in June 2020 and joined the Core Bioinformatics group at the Cambridge Stem Cell Institute in August 2020 as a Research Assistant - Bioinformatician. My first major project at the CSCI, an extension of my master’s thesis, focused on applying Supervised Machine Learning and Genetic Algorithms to characterise miRNA-mRNA interactions using positional, nucleotide features. To further study the role of small RNAs and their integration into wider regulatory networks, I have also been working on a grid-based method to assess the covariation between mRNA and protein expression levels at spatial resolution in the mouse brain in early development, focusing on RNAscope and 10x Visium data. Over the past 2 years, I have worked closely with biologists studying a range of interesting questions by processing bulk and single-cell RNAseq, ChIPseq, small RNA and spatial transcriptomics datasets.

More recently, I compiled a pipeline, bulkAnalyseR, to process bulk data and create a shiny app which could be used in-house and shared with the community to improve the accessibility and transparency of data analysis. In particular, for this pipeline I implemented a first version of multi-omics integration through GRNs, focusing on cis- or trans-regulatory interactions. Through my MRC iCASE PhD project, in collaboration with AstraZeneca, I hope to further develop this idea and extract a wealth of information and insights from multi-omics data, particularly in the ASO context and through the integration of spatial data.


Key publications: 

bulkAnalyseR: An accessible, interactive pipeline for analysing and sharing bulk multi-modal sequencing data
Ilias Moutsopoulos*, Eleanor C Williams*, Irina Mohorianu (2022); Briefings in Bioinformatics


The sum of two halves may be different from the whole. Effects of splitting sequencing samples across lanes.
Eleanor C Williams
*, Ruben Chazarra-Gil*, Arash Shahsavari*, Irina Mohorianu (2022) Genes
Slides from UK Conference of Bioinformatics and Computational Biology (September 2021)


GridProCo: a grid-based method for assessing mRNA and protein co-variation in expression levels at spatial resolution
Eleanor C. Williams, Katherine Ridley, Theresa Bartels, David Rowitch, Irina Mohorianu (2022)
Presented as a poster at RECOMB 2022 (Conference on Research in Computational Molecular Biology) at University of California San Diego, USA


noisyR: Enhancing biological signal in sequencing datasets by characterising random technical noise
I. Moutsopoulos, L. Maischak, E. Lauzikaite, S. A. Vasquez Urbina, E. C. Williams, H. G. Drost, I. Mohorianu (2021) Nucleic Acids Research


feamiR: Feature selection based on Genetic Algorithms for predicting miRNA-mRNA interactions
Eleanor C. Williams, Anisoara Calinescu, Irina Mohorianu (2020) bioRxiv
Poster from EMBL Symposium: Non-coding genome (October 2021)
Video from EMBL Symposium: Non-coding genome (October 2021)


Contact Details

ecw63 at
Available for consultancy
The truth is rarely pure and never simple. Oscar Wilde, The Importance of Being Earnest