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Norman W. Paton

Researcher at University of Manchester

Publications -  347
Citations -  12361

Norman W. Paton is an academic researcher from University of Manchester. The author has contributed to research in topics: Data integration & Query language. The author has an hindex of 51, co-authored 337 publications receiving 11928 citations. Previous affiliations of Norman W. Paton include Birkbeck, University of London & University of Aberdeen.

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Journal ArticleDOI

A critical and integrated view of the yeast interactome.

TL;DR: The Genome Information Management System (GIMS) is used to integrate interactome datasets with transcriptome and protein annotation data and significant evidence is found that the proportion of false-positive results is high.
Journal ArticleDOI

User Driven Multi-Criteria Source Selection

TL;DR: A user-driven approach to source selection that seeks to identify sources that are most fit for purpose is proposed, presenting a methodology for modelling a user’s context and its collection of optimisation algorithms for exploring the space of solutions, and compares and evaluates the resulting algorithms using multiple real world data sets.
Journal ArticleDOI

Supporting dynamic displays using active rules

TL;DR: The declarative and modular description of active rules enables active displays to be supported with minimal changes to the database or its graphical interface and can easily be adapted to support dynamic interaction between an active database system and other external systems.
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The gel electrophoresis markup language (GelML) from the Proteomics Standards Initiative.

TL;DR: The Human Proteome Organisation's Proteomics Standards Initiative has developed the GelML data exchange format, which closely follows the reporting guidelines for gel electrophoresis, and complements other PSI formats for MS data and the results of protein and peptide identifications.
Book ChapterDOI

VESPA: A Benchmark for Vector Spatial Databases

TL;DR: This paper presents a benchmark for vector spatial databases that covers a range of typical GIS functions, and shows how the benchmark has been implemented in two systems: the object-relational database PostgreSQL, and the deductive object-oriented database ROCK & ROLL extended to support the ROSE algebra.