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Plos One|February 15, 2020
A three-year whole genome sequencing perspective of Enterococcus faecium sepsis in AustraliaTerence Lee, Stanley Pang, Marc Stegger, et al.
Communicable Diseases Intelligence (2018)|November 17, 2025
Australian Group on Antimicrobial Resistance (AGAR) Australian Staphylococcus aureus Surveillance Outcome Program (ASSOP) Bloodstream Infection Annual Report 2024Geoffrey Coombs, Denise Daley, Sruthi Mamoottil Sudeep, et al.
Bioinformatics (Oxford, England)|July 12, 2012
Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling dataAnton Zoubarev, Kelsey M Hamer, Kiran D Keshav, et al.
Nucleic Acids Research|November 26, 2025
metaTraits: a large-scale integration of microbial phenotypic trait informationDaniel Podlesny, Chan Yeong Kim, Shahriyar Mahdi Robbani, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|May 18, 2007
Is TGFBR1*6A a susceptibility allele for nonsyndromic familial colorectal neoplasia?Denise Daley, Wendi Morgan, Susan Lewis, et al.
Communicable Diseases Intelligence (2018)|November 17, 2025
Australian Group on Antimicrobial Resistance (AGAR) Australian Gram-negative Surveillance Outcome Program (GnSOP) Bloodstream Infection Annual Report 2024Jan Bell, Alicia Fajardo Lubian, Sally Partridge, et al.
Msphere|January 12, 2022
Meconium Microbiome of Very Preterm Infants across GermanyJonas Klopp, Pamela Ferretti, Claudius U Meyer, et al.
American Journal of Human Genetics|March 4, 2008
Identification of susceptibility genes for cancer in a genome-wide scan: results from the colon neoplasia sibling studyDenise Daley, Susan Lewis, Petra Platzer, et al.
Human Genetics|February 28, 2009
Analyses of associations with asthma in four asthma population samples from Canada and AustraliaDenise Daley, Mathieu Lemire, Loubna Akhabir, et al.
Frontiers in Genetics|February 4, 2012
Cost-effective prediction of gender-labeling errors and estimation of gender-labeling error rates in candidate-gene association studiesConghui Qu, Johanna M Schuetz, Jeong Eun Min, et al.
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