A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Breeze: an integrated quality control and data analysis application for high-throughput drug screening
Tekijät: Swapnil Potdar, Aleksandr Ianevski, John-Patrick Mpindi, Dmitrii Bychkov, Clément Fiere, Philipp Ianevski, Bhagwan Yadav, Krister Wennerberg, Tero Aittokallio, Olli Kallioniemi, Jani Saarela, Päivi Östling
Kustantaja: OXFORD UNIV PRESS
Julkaisuvuosi: 2020
Journal: Bioinformatics
Tietokannassa oleva lehden nimi: BIOINFORMATICS
Lehden akronyymi: BIOINFORMATICS
Vuosikerta: 36
Numero: 11
Aloitussivu: 3602
Lopetussivu: 3604
Sivujen määrä: 3
ISSN: 1367-4803
eISSN: 1367-4811
DOI: https://doi.org/10.1093/bioinformatics/btaa138
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/49957614
High-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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
