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Dr Lorraine Ayad
Lecturer - Computer Science

Research area(s)

  • String algorithms
  • Algorithms for computational molecular biology
  • Bioinformatics

Research Interests

Lorraine Ayad's current work lies in the creation of algorithms for Computational Molecular Biology. Specifically, this involves identifying and creating algorithms which can aid biological research and also find ways to improve existing algorithms through the reduction of time or space.

Bioinformatics tools implemented by Lorraine Ayad:

IsoXpressor - a tool to assess transcriptional activity within isochores.

CNEFinder - a tool for the identification of conserved non-coding elements in genomes.

SMART - a tool to identify supermaximal approximate repeats in a sequence.

MARS - a heuristic tool for multiple circular sequence alignment given a set of circular (DNA or Protein) sequences.

hCED - a heuristic tool for cyclic edit distance computation given a pair of circular sequences.