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Louise Royle

dblp:26/2800 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
glycomics
0.312018
GlycoStore: a database of retention properties for glycan analysis · Bioinform. 2018
Bioinformatics and computational biology › structural bioinformatics › macromolecular structure analysis
glycan structure analysis
0.222018
GlycoStore: a database of retention properties for glycan analysis · Bioinform. 2018
GlycoBase and autoGU: tools for HPLC-based glycan analysis · Bioinform. 2008
Bioinformatics and computational biology › structural bioinformatics › macromolecular structure analysis
glycan structure assignment
0.112008
GlycoBase and autoGU: tools for HPLC-based glycan analysis · Bioinform. 2008

Methods — techniques the papers use, named apart from their topics

mass spectrometry · 0.3chromatography · 0.3capillary electrophoresis · 0.3relational database · 0.1footprint analysis · 0.1
YearPublicationVenuePosition
2018 GlycoStore: a database of retention properties for glycan analysis
abstract
Summary: GlycoStore is a curated chromatographic, electrophoretic and mass-spectrometry composition database of N-, O-, glycosphingolipid (GSL) glycans and free oligosaccharides associated with a range of glycoproteins, glycolipids and biotherapeutics. The database is built on publicly available experimental datasets from GlycoBase developed in the Oxford Glycobiology Institute and then the National Institute for Bioprocessing Research and Training (NIBRT). It has now been extended to include recently published and in-house data collections from the Bioprocessing Technology Institute (BTI) A*STAR, Macquarie University and Ludger Ltd. GlycoStore provides access to approximately 850 unique glycan structure entries supported by over 8500 retention positions determined by: (i) hydrophilic interaction chromatography (HILIC) ultra-high performance liquid chromatography (U/HPLC) and reversed phase (RP)-U/HPLC with fluorescent detection; (ii) porous graphitized carbon (PGC) chromatography in combination with ESI-MS/MS detection; and (iii) capillary electrophoresis with laser induced fluorescence detection (CE-LIF). GlycoStore enhances many features previously available in GlycoBase while addressing the limitations of the data collections and model of this popular resource. GlycoStore aims to support detailed glycan analysis by providing a resource that underpins current workflows. It will be regularly updated by expert annotation of published data and data obtained from the project partners. Availability and implementation: http://www.glycostore.org. Supplementary information: Supplementary data are available at Bioinformatics online.
Sophie Zhao, Ian Walsh, Jodie L. Abrahams, Louise Royle, Terry Nguyen-Khuong, Daniel Spencer, Daryl L. Fernandes, Nicolle H. Packer, Pauline M. Rudd, Matthew P. Campbell
Bioinform.4
2008 GlycoBase and autoGU: tools for HPLC-based glycan analysis
abstract
SUMMARY: The development of robust high-performance liquid chromatography (HPLC) technologies continues to improve the detailed analysis and sequencing of glycan structures released from glycoproteins. Here, we present a database (GlycoBase) and analytical tool (autoGU) to assist the interpretation and assignment of HPLC-glycan profiles. GlycoBase is a relational database which contains the HPLC elution positions for over 350 2-AB labelled N-glycan structures together with predicted products of exoglycosidase digestions. AutoGU assigns provisional structures to each integrated HPLC peak and, when used in combination with exoglycosidase digestions, progressively assigns each structure automatically based on the footprint data. These tools are potentially very promising and facilitate basic research as well as the quantitative high-throughput analysis of low concentrations of glycans released from glycoproteins. AVAILABILITY: http://glycobase.ucd.ie
Matthew P. Campbell, Louise Royle, Catherine M. Radcliffe, Raymond A. Dwek, Pauline M. Rudd
Bioinform.2