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Simon C. Potter

Researcher at European Bioinformatics Institute

Publications -  73
Citations -  60925

Simon C. Potter is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 54, co-authored 72 publications receiving 54160 citations. Previous affiliations of Simon C. Potter include Wellcome Trust Sanger Institute.

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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul Burton, +195 more
- 07 Jun 2007 - 
TL;DR: This study has demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in theBritish population is generally modest.
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Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston, +222 more
- 05 Dec 2002 - 
TL;DR: The results of an international collaboration to produce a high-quality draft sequence of the mouse genome are reported and an initial comparative analysis of the Mouse and human genomes is presented, describing some of the insights that can be gleaned from the two sequences.
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The Pfam protein families database: towards a more sustainable future

TL;DR: Pfam is now primarily based on the UniProtKB reference proteomes, with the counts of matched sequences and species reported on the website restricted to this smaller set, and the facility to view the relationship between families within a clan has been improved by the introduction of a new tool.
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The Pfam protein families database in 2019.

TL;DR: A significant comparison to the structural classification database that led to the creation of 825 new families based on their set of uncharacterized families (EUFs) was carried out and Pfam entries were connected to the Sequence Ontology (SO) through mapping of the Pfam type definitions to SO terms.
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The EMBL-EBI search and sequence analysis tools APIs in 2019

TL;DR: The latest improvements made to the frameworks which enhance the interconnectivity between public EMBL-EBI resources and ultimately enhance biological data discoverability, accessibility, interoperability and reusability are described.