S
Simon A. Hardwick
Researcher at Garvan Institute of Medical Research
Publications - 18
Citations - 1214
Simon A. Hardwick is an academic researcher from Garvan Institute of Medical Research. The author has contributed to research in topics: Gene & Alternative splicing. The author has an hindex of 13, co-authored 17 publications receiving 867 citations. Previous affiliations of Simon A. Hardwick include Cornell University & Macquarie University.
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Journal ArticleDOI
Reference standards for next-generation sequencing.
TL;DR: The informed use of reference standards, and associated statistical principles, ensures rigorous analysis of NGS data and is essential for its future clinical use.
Journal ArticleDOI
The Dimensions, Dynamics, and Relevance of the Mammalian Noncoding Transcriptome
Ira W. Deveson,Simon A. Hardwick,Tim R. Mercer,Tim R. Mercer,John S. Mattick,John S. Mattick +5 more
TL;DR: The key studies and technological advances that have shaped the understanding of the dimensions, dynamics, and biological relevance of the mammalian noncoding transcriptome are described.
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Gene cassettes encoding resistance to quaternary ammonium compounds: a role in the origin of clinical class 1 integrons?
Michael R. Gillings,Duan Xuejun,Duan Xuejun,Simon A. Hardwick,Marita Holley,Harold W. Stokes +5 more
TL;DR: It is shown that diverse qac gene cassettes are a dominant feature of cassette arrays from environmental class 1 integrons, and that they occur in the absence of any antibiotic resistance gene cassette.
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Spliced synthetic genes as internal controls in RNA sequencing experiments
Simon A. Hardwick,Simon A. Hardwick,Wendy Y. Chen,Wendy Y. Chen,Ted Wong,Ira W. Deveson,Ira W. Deveson,James Blackburn,James Blackburn,Stacey B. Andersen,Lars K. Nielsen,John S. Mattick,John S. Mattick,Tim R. Mercer,Tim R. Mercer +14 more
TL;DR: A set of spike-in RNA standards, termed 'sequins' (sequencing spike-ins), that represent full-length spliced mRNA isoforms, that provide a qualitative and quantitative reference with which to navigate the complexity of the human transcriptome are developed.
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Quantification of class 1 integron abundance in natural environments using real-time quantitative PCR.
TL;DR: It was shown that the abundance of the intI1 gene in creek sediment correlates with ecological condition, implying that class 1 integrons provide selective advantages relevant to environmental pressures other than the use of antibiotics.