Mark Cowley

Prof. Mark Cowley

Children's Cancer Institute, Sydney, Australia
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 February 2016 in Nature
Verified
Journal Article
Closed access
PDF file
PBPeter Bailey
Peter Bailey
DCDavid K. Chang
David K. Chang
Katia NonesKatia Nones
Katia Nones
AJAmber L. Johns
Amber L. Johns
APAnn-Marie Patch
Ann-Marie Patch
SGSean M. Grimmond
Sean M. Grimmond

25 February 2015 in Nature
Verified
Journal Article
Closed access
PDF file
AIAustralian Pancreatic Cancer Genome Initiative
Australian Pancreatic Cancer Genome Initiative
Nic WaddellNic Waddell
Nic Waddell
MPMarina Pajic
Marina Pajic
APAnn-Marie Patch
Ann-Marie Patch
DCDavid K Chang
David K Chang
SGSean M. Grimmond
Sean M. Grimmond

24 October 2012 in Nature
Verified
Journal Article
Closed access
PDF file
AIAustralian Pancreatic Cancer Genome Initiative
Australian Pancreatic Cancer Genome Initiative
ABAndrew V. Biankin
Andrew V. Biankin
Nic WaddellNic Waddell
Nic Waddell
KKKarin Kassahn
Karin Kassahn
MGMarie-Claude Gingras
Marie-Claude Gingras
SGSean M. Grimmond
Sean M. Grimmond

15 February 2017 in Nature
Verified
Journal Article
Closed access
AIAustralian Pancreatic Cancer Genome Initiative
Australian Pancreatic Cancer Genome Initiative
ASAldo Scarpa
Aldo Scarpa
DCDavid K. Chang
David K. Chang
Katia NonesKatia Nones
Katia Nones
VCVincenzo Corbo
Vincenzo Corbo
SGSean M. Grimmond
Sean M. Grimmond

5 October 2020 in Nature Medicine
Verified
Journal Article
Closed access
PDF file
MWMarie Wong
Marie Wong
CMChelsea Mayoh
Chelsea Mayoh
LLLoretta Lau
Loretta Lau
DKDong-Anh Khuong-Quang
Dong-Anh Khuong-Quang
MPMark Pinese
Mark Pinese
MCMark Cowley
Mark Cowley

8 November 2011 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
MCMark Cowley
Mark Cowley
MPMark Pinese
Mark Pinese
KKKarin Kassahn
Karin Kassahn
Nic WaddellNic Waddell
Nic Waddell
JPJohn V. Pearson
John V. Pearson
JWJianmin Wu
Jianmin Wu
The Protein Interaction Network Analysis (PINA) platform is a comprehensive web resource, which includes a database of unified protein–protein interaction data integrated from six manually curated public databases, and a set of built-in tools for network construction, filtering, analysis and visualization. The second version of PINA enhances its utility for studies of protein interactions at a network level, by including multiple collections of interaction modules identified by different clustering approaches from the whole network of protein interactions (‘interactome’) for six model organisms. All identified modules are fully annotated by enriched Gene Ontology terms, KEGG pathways, Pfam domains and the chemical and genetic perturbations collection from MSigDB. Moreover, a new tool is provided for module enrichment analysis in addition to simple query function. The interactome data are also available on the web site for further bioinformatics analysis. PINA is freely accessible at http://cbg.garvan.unsw.edu.au/pina/.