Nathan S. Watson-Haigh

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 6

Top Topics

Poses Challenges

Training Process

Functional Genomics

Top Venues

Briefings Bioinform.

PLoS Comput. Biol.

Publications

Michael J. Roach, N. Tessa Pierce-Ward, Radoslaw Suchecki, Vijini Mallawaarachchi, Bhavya Nalagampalli Papudeshi, Scott A. Handley, C. Titus Brown, Nathan S. Watson-Haigh, Robert A. Edwards
Ten simple rules and a template for creating workflows-as-applications. PLoS Comput. Biol. 18 (12) (2022)
Maria Victoria Schneider, Philippa C. Griffin, Sonika Tyagi, Madison Flannery, Saravanan Dayalan, Simon Gladman, Nathan S. Watson-Haigh, Philipp E. Bayer, Michael Charleston, Ira Cooke, Rob Cook, Richard J. Edwards, David Edwards, Dominique Gorse, Malcolm J. McConville, David Powell, Marc R. Wilkins, Andrew Lonie
Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia. Briefings Bioinform. 20 (2) (2019)
Nathan S. Watson-Haigh, Jerico Nico De Leon Revote, Radoslaw Suchecki, Sonika Tyagi, Susan M. Corley, Catherine A. Shang, Annette McGrath
Towards an open, collaborative, reusable framework for sharing hands-on bioinformatics training workshops. Briefings Bioinform. 18 (2) (2017)
Jerico Nico De Leon Revote, Nathan S. Watson-Haigh, Steve Quenette, Blair Bethwaite, Annette McGrath, Catherine A. Shang
Development of a cloud-based Bioinformatics Training Platform. Briefings Bioinform. 18 (3) (2017)
Philippa C. Griffin, Jyoti Khadake, Kate S. LeMay, Suzanna E. Lewis, Sandra E. Orchard, Andrew Pask, Bernard J. Pope, Ute Roessner, Keith Russell, Torsten Seemann, Andrew E. Treloar, Sonika Tyagi, Jeffrey H. Christiansen, Saravanan Dayalan, Simon Gladman, Sandra B. Hangartner, Helen L. Hayden, William W. H. Ho, Gabriel Keeble-Gagnère, Pasi K. Korhonen, Peter Neish, Priscilla R. Prestes, Mark F. Richardson, Nathan S. Watson-Haigh, Kelly L. Wyres, Neil D. Young, Maria Victoria Schneider
Best practice data life cycle approaches for the life sciences. F1000Research 6 (2017)
Rafael C. Jiménez, Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, Bérénice Batut, Mikael Borg, Salvador Capella-Gutiérrez, Neil P. Chue Hong, Martin Cook, Manuel Corpas, Madison Flannery, Leyla J. García, Josep Lluis Gelpí, Simon Gladman, Carole A. Goble, Montserrat González Ferreiro, Alejandra N. González-Beltrán, Philippa C. Griffin, Björn A. Grüning, Jonas Hagberg, Petr Holub, Rob W. W. Hooft, Jon C. Ison, Daniel S. Katz, Brane Leskosek, Federico López-Gómez, Luis J. Oliveira, David Mellor, Rowland Mosbergen, Nicola J. Mulder, Yasset Pérez-Riverol, Robert Pergl, Horst Pichler, Bernard J. Pope, Ferran Sanz, Maria Victoria Schneider, Victoria Stodden, Radoslaw Suchecki, Radka Svobodová Vareková, Harry-Anton Talvik, Ilian T. Todorov, Andrew E. Treloar, Sonika Tyagi, Maarten van Gompel, Daniel Vaughan, Allegra Via, Xiaochuan Wang, Nathan S. Watson-Haigh, Steve Crouch
Four simple recommendations to encourage best practices in research software. F1000Research 6 (2017)
Nathan S. Watson-Haigh, Catherine A. Shang, Matthias Haimel, Myrto Kostadima, Remco Loos, Nandan Deshpande, Konsta Duesing, Xi Li, Annette McGrath, Sean McWilliam, Simon Michnowicz, Paula Moolhuijzen, Steve Quenette, Jerico Nico De Leon Revote, Sonika Tyagi, Maria Victoria Schneider
Next-generation sequencing: a challenge to meet the increasing demand for training workshops in Australia. Briefings Bioinform. 14 (5) (2013)
Pravech Ajawatanawong, Gemma Catherine Atkinson, Nathan S. Watson-Haigh, Bryony MacKenzie, Sandra L. Baldauf
SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments. Nucleic Acids Res. 40 (Web-Server-Issue) (2012)
Stephen J. Goodswen, Cedric Gondro, Nathan S. Watson-Haigh, Haja N. Kadarmideen
FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases. BMC Bioinform. 11 (2010)
Nathan S. Watson-Haigh, Haja N. Kadarmideen, Antonio Reverter
PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches. Bioinform. 26 (3) (2010)