Breeze: an integrated quality control and data analysis application for high-throughput drug screening

dc.contributor.authorSwapnil Potdar
dc.contributor.authorAleksandr Ianevski
dc.contributor.authorJohn-Patrick Mpindi
dc.contributor.authorDmitrii Bychkov
dc.contributor.authorClément Fiere
dc.contributor.authorPhilipp Ianevski
dc.contributor.authorBhagwan Yadav
dc.contributor.authorKrister Wennerberg
dc.contributor.authorTero Aittokallio
dc.contributor.authorOlli Kallioniemi
dc.contributor.authorJani Saarela
dc.contributor.authorPäivi Östling
dc.contributor.organizationfi=matematiikka|en=Mathematics|
dc.contributor.organization-code1.2.246.10.2458963.20.41687507875
dc.converis.publication-id49957614
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/49957614
dc.date.accessioned2022-10-28T13:14:33Z
dc.date.available2022-10-28T13:14:33Z
dc.description.abstractHigh-throughput screening (HTS) enables systematic testing of thousands of chemical compounds for potential use as investigational and therapeutic agents. HTS experiments are often conducted in multi-well plates that inherently bear technical and experimental sources of error. Thus, HTS data processing requires the use of robust quality control procedures before analysis and interpretation. Here, we have implemented an open-source analysis application, Breeze, an integrated quality control and data analysis application for HTS data. Furthermore, Breeze enables a reliable way to identify individual drug sensitivity and resistance patterns in cell lines or patient-derived samples for functional precision medicine applications. The Breeze application provides a complete solution for data quality assessment, dose-response curve fitting and quantification of the drug responses along with interactive visualization of the results.
dc.format.pagerange3602
dc.format.pagerange3604
dc.identifier.eissn1367-4811
dc.identifier.jour-issn1367-4803
dc.identifier.olddbid180747
dc.identifier.oldhandle10024/163841
dc.identifier.urihttps://www.utupub.fi/handle/11111/34040
dc.identifier.urnURN:NBN:fi-fe2021042822004
dc.language.isoen
dc.okm.affiliatedauthorAittokallio, Tero
dc.okm.discipline111 Mathematicsen_GB
dc.okm.discipline112 Statistics and probabilityen_GB
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline111 Matematiikkafi_FI
dc.okm.discipline112 Tilastotiedefi_FI
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherOXFORD UNIV PRESS
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1093/bioinformatics/btaa138
dc.relation.ispartofjournalBioinformatics
dc.relation.issue11
dc.relation.volume36
dc.source.identifierhttps://www.utupub.fi/handle/10024/163841
dc.titleBreeze: an integrated quality control and data analysis application for high-throughput drug screening
dc.year.issued2020

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
btaa138.pdf
Size:
293.58 KB
Format:
Adobe Portable Document Format
Description:
Publisher's PDF