QUADrATiC: scalable gene expression connectivity mapping for repurposing FDA-approved therapeutics

Background Gene expression connectivity mapping has proven to be a powerful and flexible tool for research. Its application has been shown in a broad range of research topics, most commonly as a means of identifying potential small molecule compounds, which may be further investigated as candidates for repurposing to treat diseases. The public release of voluminous data from the Library of Integrated Cellular Signatures (LINCS) programme further enhanced the utilities and potentials of gene expression connectivity mapping in biomedicine. Results We describe QUADrATiC (http://go.qub.ac.uk/QUADrATiC), a user-friendly tool for the exploration of gene expression connectivity on the subset of the LINCS data set corresponding to FDA-approved small molecule compounds. It enables the identification of compounds for repurposing therapeutic potentials. The software is designed to cope with the increased volume of data over existing tools, by taking advantage of multicore computing architectures to provide a scalable solution, which may be installed and operated on a range of computers, from laptops to servers. This scalability is provided by the use of the modern concurrent programming paradigm provided by the Akka framework. The QUADrATiC Graphical User Interface (GUI) has been developed using advanced Javascript frameworks, providing novel visualization capabilities for further analysis of connections. There is also a web services interface, allowing integration with other programs or scripts. Conclusions QUADrATiC has been shown to provide an improvement over existing connectivity map software, in terms of scope (based on the LINCS data set), applicability (using FDA-approved compounds), usability and speed. It offers potential to biological researchers to analyze transcriptional data and generate potential therapeutics for focussed study in the lab. QUADrATiC represents a step change in the process of investigating gene expression connectivity and provides more biologically-relevant results than previous alternative solutions. Electronic supplementary material The online version of this article (doi:10.1186/s12859-016-1062-1) contains supplementary material, which is available to authorized users.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.1186/s12859-016-1062-1
PID pmid:27143038
PID pmc:PMC4855472
URL http://uir.ulster.ac.uk/34885/
URL https://pure.qub.ac.uk/en/publications/quadratic-scalable-gene-expression-connectivity-mapping-for-repurposing-fdaapproved-therapeutics(d536c74c-8eee-480e-a23e-656e1570416c).html
URL https://pureadmin.qub.ac.uk/ws/files/33278882/Quadratic.pdf
URL https://dx.doi.org/10.1186/s12859-016-1062-1
URL http://europepmc.org/articles/PMC4855472
URL https://paperity.org/p/76204084/quadratic-scalable-gene-expression-connectivity-mapping-for-repurposing-fda-approved
URL https://pure.qub.ac.uk/en/publications/quadratic-scalable-gene-expression-connectivity-mapping-for-repur
URL https://pure.ulster.ac.uk/en/publications/quadratic-scalable-gene-expression-connectivity-mapping-for-repur-3
URL https://doi.org/10.1186/s12859-016-1062-1
URL https://link.springer.com/article/10.1186/s12859-016-1062-1
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855472
URL https://core.ac.uk/display/33595641
URL http://link.springer.com/content/pdf/10.1186/s12859-016-1062-1
URL http://hdl.handle.net/20.500.11820/c54d8452-6bc4-409a-b4d4-2095b1da627e
URL http://dx.doi.org/10.1186/s12859-016-1062-1
URL https://www.pure.ed.ac.uk/ws/files/75724343/QUADrATiC_scalable_gene_expression.pdf
URL https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi17.html#OReillyWBDMMHMZ16
URL http://pure.qub.ac.uk/portal/en/publications/quadratic-scalable-gene-expression-connectivity-mapping-for-repurposing-fdaapproved-therapeutics(d536c74c-8eee-480e-a23e-656e1570416c).html
URL https://academic.microsoft.com/#/detail/2345869233
URL https://www.research.ed.ac.uk/portal/en/publications/quadratic-scalable-gene-expression-connectivity-mapping-for-repurposing-fdaapproved-therapeutics(c54d8452-6bc4-409a-b4d4-2095b1da627e).html
URL https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1062-1
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Access
Attribution

Description: Authorships and contributors

Field Value
Author Ken Mills, 0000-0002-6362-4481
Author Shu-Dong Zhang, 0000-0002-7721-0167
Author Philip D Dunne, 0000-0001-9160-283X
Author Darragh McArt, 0000-0001-6426-8776
Author Peter Bankhead, 0000-0003-4851-8813
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From OpenAPC Initiative; Europe PubMed Central; Edinburgh Research Explorer; PubMed Central; ORCID; UnpayWall; Datacite; Queen's University Research Portal; Crossref; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator)
Hosted By OpenAPC Initiative; Europe PubMed Central; SpringerOpen; Edinburgh Research Explorer; Queen's University Research Portal; BMC Bioinformatics
Journal BMC Bioinformatics, 17, 1
Publication Date 2016-05-04
Publisher Springer Nature
Additional Info
Field Value
Country United Kingdom
Format application/pdf
Language English
Resource Type Conference object; Article; UNKNOWN
system:type publication
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::7c64406fe8f76200800fa5c4f18a5f24
Author jsonws_user
Last Updated 23 December 2020, 00:45 (CET)
Created 23 December 2020, 00:45 (CET)