AWK is a s a small, C-style programming language designed for text processing and typically used as a data extraction and reporting tool. It is a standard feature of most Unix-like operating systems. Many UNIX utilities generates rows and columns of information, AWK is an excellent tool for processing these rows and columns, and is easier to use AWK than most conventional programming languages.
For queries about this topic, contact Roshan Sood.
Andrew Collins (Investigator), Alejandra Vergara Lope
This iPhD project uses a Gaussian Bayesian Networks approaches framework through machine learning approach to predict which genes are involved in the development of different diseases.
Jane Gibson (Investigator), Roshan Sood
Accurate calling of genetic variants is reliant on the purity of samples, contamination will reduce the accuracy of results. Currently there are few programs able to identify contamination in samples, potentially misinforming a researcher or clinician. To better understand the changes caused by sample contamination in
silico simulations were performed where a known percentage of DNA sequence reads from a contaminating
file were added. Understanding the changes will assist the development of a new method and program to
detect sample contamination.
The Porcupine Basin is a narrow failed rift, offshore SW Ireland, featuring extreme crustal thinning. The M61/2 survey (May 2004, T. Reston and B. O'Reilly) allowed for the acquisition of seismic refraction data across and along the basin, along 5 transects. The processing of the data along these transects will give us information about the crustal structure across the basin, faulting due to the crustal extension, nature of the upper-mantle, etc. This project is funded by Petroleum Infrastructure Programme (PIP).
Professor, Medicine (FM)
Lecturer, Biological Sciences (FNES)
Research Fellow, Ocean & Earth Science (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)