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Dr Nathan Watson-Haigh

Nathan Watson-Haigh
Research Fellow in Bioinformatics
School of Agriculture, Food and Wine
Faculty of Sciences

Nathan has almost 15 years experience in the field of bioinformatics with expertise in genomics, transcriptomics, system biology, phylogenetics, bioinformatics training, Linux systems administration, high-performance and cloud computing.

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External Profiles

Dr Nathan Watson-Haigh

Nathan has almost 15 years experience in the field of bioinformatics with expertise in genomics, transcriptomics, system biology, phylogenetics, bioinformatics training, Linux systems administration, high-performance and cloud computing.

Eligible to supervise Masters and PhD — email supervisor to discuss availability.

Nathan's background was first in biology, by undergraduate training, and then in bioinformatics by PhD. During his PhD he investigated the location of the root, the oldest part, of the eukaryotic tree of life. It was here where he learned about phylogenetics and molecular sequence analysis. At this time he was also exposed to high-performance computing infrastructure and the Linux operating system. In addition, he became involved in Open Source projects with contributions to BioPerl in the form of writing unit tests.

Following his PhD he took up a bioinformatics postdoctoral position on a project looking at the range margins of Arabidopsis lyrata ssp. petraea. It was here where Nathan was first exposed to the 'omics. His principle role was to analyse microarray data as well as to integrate datasets coming from transcriptomics, metabolomics, proteomics, population genetics and ecological studies. During this time, Nathan was responsible for the systems administration of several Linux machines and was first exposed to metabolomics data analysis.

Nathan then joined CSIRO as a postdoctoral research fellow using system biology approaches to investigate complex production traits in livestock species. Nathan drew on his prior experiences with microarrays and developed his knowledge in reproducible research and high-performance computing in the analysis of co-expression networks.

Nathan got his first taste of Next Generation Sequencing (NGS) data when he joined the Australian Wine Research Institute (AWRI) as a senior bioinformatician. It was here where he led efforts to assemble a grapevine  genome, spearheaded efforts to establish an unincorporated bioinformatics interest group in South Australia (BIG SA) and led the establishment of a cloud-based Bioinformatics Training Platform (BTP) in collaboration with Bioplatforms Australia (BPA), CSIRO Bioinformatics Core and the European Bioinformatics Institute (EBI).

Nathan joined the ACPFG in the School of Ag, Food & Wine in late 2013. He plays a pivotal role in the development and application of analytical approaches and pipelines to NGS-based wheat genomics data sets. He is responsible for the systems administration of Linux-based scientific computing infrastructure, including a large memory computer, storage and virtual machines.

Appointments

Date Position Institution name
2016 Research Fellow in Bioinformatics University of Adelaide
2012 - 2016 Research Fellow in Bioinformatics The Australian Centre for Plant Functional Genomics (ACPFG)
2011 - 2012 Senior Bioinformatician Australian Wine Research Institute
1999 - 2000 Research Assistant Bayer

Education

Date Institution name Country Title
2001 - 2004 University of York United Kingdom PhD
1997 - 2001 University of Bath United Kingdom M.Pharmacol.

Postgraduate Training

Date Title Institution Country
2008 - 2011 OCE Postoctoral Fellow Commonwealth Scientific and Industrial Research Organisation (CSIRO) Australia
2005 - 2008 Postdoctoral Fellow University of Sheffield United Kingdom

Research Interests

Journals

Year Citation
2017 Watson-Haigh, N., Revote, J., Suchecki, R., Tyagi, S., Corley, S., Shang, C., & McGrath, A. (2017). Towards an open, collaborative, reusable framework for sharing hands-on bioinformatics training workshops. Briefings in Bioinformatics, 18(2), 348-355.
DOI Scopus1 WoS1 Europe PMC2
2017 Revote, J., Watson-Haigh, N., Quenette, S., Bethwaite, B., McGrath, A., & Shang, C. (2017). Development of a cloud-based Bioinformatics Training Platform. Briefings in Bioinformatics, 18(3), 537-544.
DOI Scopus1 WoS1 Europe PMC1
2017 Jiménez, R., Kuzak, M., Alhamdoosh, M., Barker, M., Batut, B., Borg, M., . . . Crouch, S. (2017). Four simple recommendations to encourage best practices in research software. F1000Research, 6, 876.
DOI Scopus2 Europe PMC1
2017 Schneider, M. V., Griffin, P. C., Tyagi, S., Flannery, M., Dayalan, S., Gladman, S., . . . Lonie, A. (2017). Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia. Briefings in Bioinformatics.
DOI
2017 Suchecki, R., Watson-Haigh, N., & Baumann, U. (2017). POTAGE: A Visualisation Tool for Speeding up Gene Discovery in Wheat. Scientific Reports, 7(1), 8 pages.
DOI
2016 Schneider, M. V., Griffin, P. C., Williams, J., Jimenez, R., Flicek, P., Bonazzi, V., . . . Lonie, A. (2016). Bioinformatics in Australia: a snapshot. Briefings in Bioinformatics.
2016 Amarasinghe, S., Watson-Haigh, N., Gilliham, M., Roy, S., & Baumann, U. (2016). The evolutionary origin of CIPK16: a gene involved in enhanced salt tolerance. Molecular Phylogenetics and Evolution, 100, 135-147.
DOI Scopus1 WoS1 Europe PMC1
2015 Liu, H., Searle, I., Watson-Haigh, N., Baumann, U., Mather, D., Able, A., & Able, J. (2015). Genome-wide identification of microRNAs in leaves and the developing head of four durum genotypes during water deficit stress. PLoS One, 10(11), e0142799-1-e0142799-30.
DOI Scopus17 WoS16 Europe PMC12
2014 Byrt, C., Xu, B., Krishnan, M., Lightfoot, D., Athman, A., Jacobs, A., . . . Gilliham, M. (2014). The Na⁺ transporter, TaHKT1;5-D, limits shoot Na⁺ accumulation in bread wheat. The Plant Journal, 80(3), 516-526.
DOI Scopus44 WoS44 Europe PMC29
2013 Watson-Haigh, N., Shang, C., Haimel, M., Kostadima, M., Remco, L., Deshpande, N., . . . Schneider, M. (2013). Next-generation sequencing: A challenge to meet the increasing demand for training workshops in Australia. Briefings in Bioinformatics, 14(5), 563-574.
DOI Scopus7 WoS7 Europe PMC9
2013 McDowall, M., Watson-Haigh, N., Edwards, N., Kadarmideen, H., Nattrass, G., McGrice, H., & Hynd, P. (2013). Transient treatment of pregnant Merino ewes with modulators of cortisol biosynthesis coinciding with primary wool follicle initiation alters lifetime wool growth. Animal Production Science, 53(10), 1101-1111.
DOI Scopus5 WoS5
2013 Stanley, D., Watson-Haigh, N., Cowled, C., & Moore, R. (2013). Genetic architecture of gene expression in the chicken. BMC Genomics, 14(1), 13-1-13-9.
DOI Scopus7 WoS5 Europe PMC8
2012 Ajawatanawong, P., Atkinson, G., Watson-Haigh, N., MacKenzie, B., & Baldauf, S. (2012). SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments. Nucleic Acids Research, 40(W1), W340-W347.
DOI Scopus11 WoS10 Europe PMC6
2012 Watson-Haigh, N., O'Neill, C., & Kadarmideen, H. (2012). Proximity loggers: data handling and classification for quality control. IEEE Sensors Journal, 12(5), 1611-1617.
DOI Scopus8 WoS6
2012 Kadarmideen, H., & Watson-Haigh, N. (2012). Building gene co-expression networks using transcriptomics data for systems biology investigations: comparison of methods using microarray data. Bioinformation, 8(18), 855-861.
DOI Europe PMC8
2011 Kadarmideen, H., Watson-Haigh, N., & Andronicos, N. (2011). Erratum: Systems biology of ovine intestinal parasite resistance: Disease gene modules and biomarkers (Molecular BioSystems (2011) DOI: 10.1039/C0MB00190B). Molecular BioSystems, 7(12), 3376.
DOI
2011 Kogelman, L., Byrne, K., Vuocolo, T., Watson-Haigh, N., Kadarmideen, H., Kijas, J., . . . Tellam, R. (2011). Genetic architecture of gene expression in ovine skeletal muscle. BMC Genomics, 12(1), 607-1-607-17.
DOI Scopus12 Europe PMC10
2011 Kadarmideen, H., Watson-Haigh, N., & Andronicos, N. (2011). Systems biology of ovine intestinal parasite resistance: disease gene modules and biomarkers. Molecular Biosystems, 7(1), 235-246.
DOI Scopus30 WoS30 Europe PMC24
2010 Goodswen, S., Gondro, C., Watson-Haigh, N., & Kadarmideen, H. (2010). FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases. BMC Bioinformatics, 11(1), 311-1-311-9.
DOI Scopus16 WoS12 Europe PMC9
2010 Watson-Haigh, N., Kadarmideen, H., & Reverter, A. (2010). PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches. Bioinformatics, 26(3), 411-413.
DOI Scopus48 WoS41 Europe PMC25
2009 Kunin, W., Vergeer, P., Kenta, T., Davey, M., Burke, T., Woodward, F., . . . Butlin, R. (2009). Variation at range margins across multiple spatial scales: environmental temperature, population genetics and metabolomic phenotype. Proceedings of the Royal Society B: Biological Sciences, 276(1661), 1495-1506.
DOI Scopus31 WoS28 Europe PMC5
2008 Kenta, T., Gratten, J., Watson-Haigh, N., Hinten, G., Slate, J., Butlin, R., & Burke, T. (2008). Multiplex SNP-SCALE: a cost-effective medium-throughput single nucleotide polymorphism genotyping method. Molecular Ecology Resources, 8(6), 1230-1238.
DOI Scopus61 WoS59 Europe PMC34
2007 Morrison, N., Bearden, D., Bundy, J., Collette, T., Currie, F., Davey, M., . . . Viant, M. (2007). Standard reporting requirements for biological samples in metabolomics experiments: Environmental context. Metabolomics, 3(3), 203-210.
DOI Scopus50 WoS49

Conference Papers

Year Citation
2010 Kadarmideen, H. N., Watson-Haigh, N., Kijas, J. W., Vuocolo, T., Byrne, K., Gondro, C., . . . Telam, R. L. (2010). Genetics of global gene expression patterns and gene networks affecting muscling in sheep. In Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (WCGALP). Leipzig, Germany.
2010 O'Neill, C. J., Watson-Haigh, N., Goodswen, S., Williams, P., & Kadarmideen, H. N. (2010). The Use of Contact Loggers to Study Social and Oestrus Activity in Brahman and Composite Beef Heifers under Field Conditions. In Proceedings of the Australian Society of Animal Production Vol. 28 (pp. 119). Armidale, Australia.
2009 Kadarmideen, H. N., Andronicos, N., & Watson-Haigh, N. (2009). Systems genetics analysis reveals gene modules and heritable biomarkers for sheep intestinal parasite resistance. In Association for the Advancement of Animal Breeding and Genetics, Proceedings of the Eighteenth Conference: Matching Genetics and the Environment: a New Look at and Old Topic, Barossa Valley, S.A. Australia, 28th September – 1st October 2009 (pp. 279-282). Australia: Association for the Advancement of Animal Breeding and Genetics.
2009 Kadarmideen, H., McDowall, M., Nattrass, G., McGrice, H., Hynd, P., & Watson-Haigh, N. (2009). Weighted co-expression networks shed light on the molecular mechanism of action of metyrapone on wool follicle development. In Proceedings of the 18th Conference AAABG (pp. 322-325). Australia: AAABG.

Datasets

Year Citation
2015 Liu, H., Searle, I., Watson-Haigh., Baumann., Mather, D. E., Able, A. J., & Able, J. A. (2015). Genome-wide identification of differentially expressed microRNAs in leaves and the developing head of four durum genotypes during water deficit stress.

Filesets

Year Citation
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Xiaoyan-54 WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Alsen WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Excalibur WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Gladius WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). H-45 WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). RAC-875 WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Volcani-DD-1 WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Wyalkatchem WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Yitpi WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Kukri WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Pastor WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Westonia WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Chara,AUS WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Drysdale WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Baxter WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). AC-Barrie WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI
Watson-Haigh, N., Watson-Haigh, N., Suchecki, R., Garcia, M. D. O. S., Kalashyan, E., & Baumann, U. (n.d.). Chinese Spring WGS vs IWGSC RefSeq v1.0 Genome Assembly.
DOI

Past Higher Degree by Research Supervision (University of Adelaide)

Date Role Research Topic Program Degree Type Student Load Student Name
2014 - 2018 Co-Supervisor Defining Transcriptional Networks Associated with Plant Salinity Tolerance Doctor of Philosophy Doctorate Full Time Ms Shanika Lakmini Amarasinghe

Committee Memberships

Date Role Committee Institution Country
2014 - 2014 Member Student Management Committee ACPFG Australia

Memberships

Date Role Membership Country
2011 - 2013 President Bioinformatics Interest Group for South Australia (BIG SA) Australia
Position
Research Fellow in Bioinformatics
Phone
83132046
Campus
Waite
Building
Plant Genomics Centre, floor 2
Room Number
2 05
Org Unit
School of Agriculture, Food and Wine

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