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Andrew Sparkes

dblp:52/3697 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
laboratory information management
0.112012
AutoLabDB: a substantial open source database schema to support a high-throughput automated laboratory · Bioinform. 2012
Bioinformatics and computational biology › drug discovery
high-throughput screening
0.012012
AutoLabDB: a substantial open source database schema to support a high-throughput automated laboratory · Bioinform. 2012

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

database design · 0.1
YearPublicationVenuePosition
2012 AutoLabDB: a substantial open source database schema to support a high-throughput automated laboratory
abstract
Abstract Motivation: Modern automated laboratories need substantial data management solutions to both store and make accessible the details of the experiments they perform. To be useful, a modern Laboratory Information Management System (LIMS) should be flexible and easily extensible to support evolving laboratory requirements, and should be based on the solid foundations of a robust, well-designed database. We have developed such a database schema to support an automated laboratory that performs experiments in systems biology and high-throughput screening. Results: We describe the design of the database schema (AutoLabDB), detailing the main features and describing why we believe it will be relevant to LIMS manufacturers or custom builders. This database has been developed to support two large automated Robot Scientist systems over the last 5 years, where it has been used as the basis of an LIMS that helps to manage both the laboratory and all the experiment data produced. Availability and implementation: The database schema has been made available as open source (BSD license), so that others may use, extend and improve it to meet their own needs. Example software interfaces to the database are also provided. http://autolabdb.sourceforge.net/ Contact: [email protected]
Andrew Sparkes, Amanda Clare
Bioinform.1