Inferring the function of genes from synthetic lethal mutations

Oliver Ray, Chris Bryant

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)

Abstract

Techniques for detecting synthetic lethal mutations in double gene deletion experiments are emerging as powerful tool for analysing genes in parallel or overlapping pathways with a shared function. This paper introduces a logic-based approach that uses synthetic lethal mutations for mapping genes of unknown function to enzymes in a known metabolic network. We show how such mappings can be automatically computed by a logical learning system called eXtended Hybrid Abductive Inductive Learning (XHAIL).
Original languageEnglish
Title of host publication2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 1st International Workshop on Intelligent Informatics in Biology and Medicine)
PublisherIEEE Computer Society
Publication statusPublished - 2008

Bibliographical note

Other page information: 667-671
Conference Proceedings/Title of Journal: 2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 1st International Workshop on Intelligent Informatics in Biology and Medicine)
Other identifier: 2000835

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    Ray, O., & Bryant, C. (2008). Inferring the function of genes from synthetic lethal mutations. In 2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 1st International Workshop on Intelligent Informatics in Biology and Medicine) IEEE Computer Society. http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2000835