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Curtin University
Staff Profile

Dr James Hane

Dr James Hane Dr James Hane
Position Senior Research Fellow
Faculty Faculty of Science and Engineering
School School of Science
Department Centre for Crop Disease Management
Campus Bentley Campus
Location 303.189
Phone 892661726
Email James.Hane@curtin.edu.au
Twitter twitter.com/JamesKHane
Website http://ccdm.curtin.edu.au/programs/bioinformatics.cfm
Linked In linkedin.com/pub/james-hane/73/369/901
ORCID orcid.org/0000-0002-7651-0977
ResearcherID www.researcherid.com/rid/A-7062-2011
Google Scholar scholar.google.com.au/citations?user=T4W70sEAAAAJ
Scopus Author Identifier www.scopus.com/authid/detail.url?authorId=14025522900

Brief Summary

Program Leader, Program 10 - CCDM Bioinformatics, Centre for Crop and DIsease Management


James’ research encompasses genome analysis of agriculturally-important fungal pathogens and host crop species, and bioinformatic investigation of the underlying biology of their interaction during infection.  His research has described the first analysis of the genomes of several species of agricultural and economic importance.  They have defined a broad genetic basis for the biological activities of these organisms and formed a major foundational resource that has facilitated numerous subsequent studies by empowering agricultural molecular biologists to adopt high-throughput reverse genetics approaches in the study of these species. James’ research has then taken these resources and via comparative genomics contributed novel insights in the field of fungal genomics.  Specifically, the first observation of ‘mesosynteny’ and development of novel algorithms for its characterisation and wider analysis. Also, the development of widely-adopted software for the analysis of a mutagenesis process called repeat-induced point mutation (RIP). These are major drivers of evolution in fungal pathogens and form the pillars of James’ current research into investigating pathogenicity adaptation and developing informed bioinformatics methods to accurately predict fungal genes that cause plant disease. Recently, James and his students have published highly accurate gene-prediction software for fungi (CodingQuarry, by Alison Testa) and are developing other novel techniques including: predicting pathogenicity genes based on predicted 3D structures of proteins and by inspection of RIP-influenced regions of fungal genomes.


Upcoming meetings:

Past meetings


Honours and Ph. D. projects available

Employment History


 

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Research Fields

Biological Sciences

Agricultural and Veterinary Sciences

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Research Interests

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Specialty Areas

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Publications

2016

Journal Articles (Research)

2015

Book Chapters (Research)

Journal Articles (Research)

2014

Journal Articles (Research)

2013

Journal Articles (Research)

2012

Journal Articles (Research)

2011

Book Chapters (Research)

Journal Articles (Research)

2010

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2009

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2008

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2007

Journal Articles (Research)

2006

Journal Articles (Research)

Additional publication categories

2016

Journal Articles (Scholarly/Professional)

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