Dr Amanda Clare
BA (Oxon), MSc( Edinburgh), PhD (Aberytwyth)
Senior Lecturer
Department of Computer Science
Contact Details
- Email: afc@aber.ac.uk
- ORCID: 0000-0001-8315-3659
- Office: E33, Llandinam Building
- Phone: +44 (0) 1970 622429
- Personal Website: http://users.aber.ac.uk/afc
- Twitter: @afcaber
- Google Scholar: https://scholar.google.co.uk/citations?user=dsmbrisAAAAJ
- Research Portal Profile
- Personal Pronouns: she, her
Profile
My research is in data analysis and data science, and in particular in bioinformatics and natural language processing/text analysis, but also the analysis of sequences in general, including time series and in the detection of anomalies. I am interested in all genomics questions and in particular, in what we can do with computers (algorithms, data structures and artificial intelligence) to help answer these questions. DNA/RNA sequencing allows us to inspect the genetic composition of microbes, animals, plants and viruses, but after we have obtained the sequences, what can we learn? How are communities changing over time? How are enzymes within a community specialised for different roles? How can we detect genes in communities of organisms that have never been cultured? I am interested in data and in comparing sets of data, whether genomic or text or sequences or counting categories, in understanding distributions, outliers and errors, and summarising the contents.
Teaching
Module Coordinator
Lecturer
Moderator
Coordinator
Research
My research is in data analysis and data science, and in particular in bioinformatics and natural language processing/text analysis, but also the analysis of sequences in general, including time series and in the detection of anomalies. I am interested in all genomics questions and in particular, in what we can do with computers (algorithms, data structures and artificial intelligence) to help answer these questions. DNA/RNA sequencing allows us to inspect the genetic composition of microbes, animals, plants and viruses, but after we have obtained the sequences, what can we learn? How are communities changing over time? How are enzymes within a community specialised for different roles? How can we detect genes in communities of organisms that have never been cultured? I am interested in data and in comparing sets of data, whether genomic or text or sequences or counting categories, in understanding distributions, outliers and errors, and summarising the contents.