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Courses
Courses
Choosing a course is one of the most important decisions you'll ever make! View our courses and see what our students and lecturers have to say about the courses you are interested in at the links below.
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University Life
University Life
Each year more than 4,000 choose University of Galway as their University of choice. Find out what life at University of Galway is all about here.
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About University of Galway
About University of Galway
Since 1845, University of Galway has been sharing the highest quality teaching and research with Ireland and the world. Find out what makes our University so special – from our distinguished history to the latest news and campus developments.
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Colleges & Schools
Colleges & Schools
University of Galway has earned international recognition as a research-led university with a commitment to top quality teaching across a range of key areas of expertise.
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Research & Innovation
Research & Innovation
University of Galway’s vibrant research community take on some of the most pressing challenges of our times.
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Business & Industry
Guiding Breakthrough Research at University of Galway
We explore and facilitate commercial opportunities for the research community at University of Galway, as well as facilitating industry partnership.
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Alumni & Friends
Alumni & Friends
There are 128,000 University of Galway alumni worldwide. Stay connected to your alumni community! Join our social networks and update your details online.
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Community Engagement
Community Engagement
At University of Galway, we believe that the best learning takes place when you apply what you learn in a real world context. That's why many of our courses include work placements or community projects.
Functional Environmental Microbiology Research Group:
Current Projects:
Dr Florence Abram: Functional Environmental Microbiology Principal Investigator:
Florence Abram | florence.abram@nuigalway.ie | IRIS Page | Google Scholar |
Kevin McDonnell - IRC funded PhD - co-supervised by Dr Enda Howley (NUIG
This project explores innovative machine learning approaches for improving de novo protein identification from tandem mass spectrometry (MS/MS) data. First, Kevin conducted a thorough evaluation of existing de novo models, that he is currently using to benchmark his own. He is also compiling a practitioner guide to report on a deep analysis of MS/MS data with an emphasis on distinguishing the signal from the noise.
Gaurav Chugh - Hardiman Fellow - co-supervised by Prof Conor O’Byrne (NUIG)
This project focuses on microbial responses to emerging contaminants, including PFOA, a man-made perfluorinated carboxylic acid widely used in industry. Gaurav has performed a series of phenotypic characterisations of E. coli upon exposure of PFOA and octanoic acid, a non-fluorinated C8 compound used for comparative purposes. He is currently investigating E. coli’s molecular mechanisms underpinning specific phenotypes with transcriptomics combined with in vitro evolution.
Sorcha Kelly - Walsh Fellow - co-supervised by Fiona Brennan (Teagasc) and Eric Paterson (JHI)
This project examines the links between microbially mediated soil organic matter turnover and nitrogen availability in agricultural soils. Sorcha has investigated the impact of soil management practices on nitrogen mineralisation. She has also used stable isotope probing to quantify biogeochemical process rates in soil as a function of plant-derived inputs. She is currently characterising the microbial communities driving these processes by 16S and 18S rRNA profiling.
Niranjana Rose Edwin - Walsh Fellow (VistaMilk) - co-supervised by Orla O’Sullivan and Fiona Brennan (Teagasc)
This project aims to explore Irish soils as a reservoir for antimicrobial resistance (AMR) using metagenomics. Soil can act as a potential entry route for AMR into the food chain and as such investigating the prevalence of AMR genes in soil microbiomes is critical to our ability to risk assess and protect the food chain. Rose will analyse metagenomic datasets from an extensive collection comprising over 130 soil samples. She will evaluate existing tools and develop novel ones for the identification of AMR genes from soil metagenomic datasets. She will also recover metagenome-assembled-genomes and construct a soil microbiome database. Finally she will use the available extensive soil metadata to statistically put in context and interpret her findings.