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Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens
High-throughput drug screens are a powerful tool for cancer drug development. However, the results of such screens are often made available only as raw data, which is intractable for researchers without informatic skills, or as highly processed summary statistics, which can lack essential informatio...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515753/ https://www.ncbi.nlm.nih.gov/pubmed/37745579 http://dx.doi.org/10.1101/2023.09.08.556619 |
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author | Ling, Alexander L. Zhang, Weijie Lee, Adam Xia, Yunong Su, Mei-Chi Gruener, Robert F. Jena, Sampreeti Huang, Yingbo Pareek, Siddhika Shan, Yuting Huang, R. Stephanie |
author_facet | Ling, Alexander L. Zhang, Weijie Lee, Adam Xia, Yunong Su, Mei-Chi Gruener, Robert F. Jena, Sampreeti Huang, Yingbo Pareek, Siddhika Shan, Yuting Huang, R. Stephanie |
author_sort | Ling, Alexander L. |
collection | PubMed |
description | High-throughput drug screens are a powerful tool for cancer drug development. However, the results of such screens are often made available only as raw data, which is intractable for researchers without informatic skills, or as highly processed summary statistics, which can lack essential information for translating screening results into clinically meaningful discoveries. To improve the usability of these datasets, we developed Simplicity, a robust and user-friendly web interface for visualizing, exploring, and summarizing raw and processed data from high-throughput drug screens. Importantly, Simplicity allows for easy recalculation of summary statistics at user-defined drug concentrations. This allows Simplicity’s outputs to be used with methods that rely on statistics being calculated at clinically relevant doses. Simplicity can be freely accessed at https://oncotherapyinformatics.org/simplicity/. |
format | Online Article Text |
id | pubmed-10515753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105157532023-09-23 Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens Ling, Alexander L. Zhang, Weijie Lee, Adam Xia, Yunong Su, Mei-Chi Gruener, Robert F. Jena, Sampreeti Huang, Yingbo Pareek, Siddhika Shan, Yuting Huang, R. Stephanie bioRxiv Article High-throughput drug screens are a powerful tool for cancer drug development. However, the results of such screens are often made available only as raw data, which is intractable for researchers without informatic skills, or as highly processed summary statistics, which can lack essential information for translating screening results into clinically meaningful discoveries. To improve the usability of these datasets, we developed Simplicity, a robust and user-friendly web interface for visualizing, exploring, and summarizing raw and processed data from high-throughput drug screens. Importantly, Simplicity allows for easy recalculation of summary statistics at user-defined drug concentrations. This allows Simplicity’s outputs to be used with methods that rely on statistics being calculated at clinically relevant doses. Simplicity can be freely accessed at https://oncotherapyinformatics.org/simplicity/. Cold Spring Harbor Laboratory 2023-09-12 /pmc/articles/PMC10515753/ /pubmed/37745579 http://dx.doi.org/10.1101/2023.09.08.556619 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Ling, Alexander L. Zhang, Weijie Lee, Adam Xia, Yunong Su, Mei-Chi Gruener, Robert F. Jena, Sampreeti Huang, Yingbo Pareek, Siddhika Shan, Yuting Huang, R. Stephanie Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens |
title | Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens |
title_full | Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens |
title_fullStr | Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens |
title_full_unstemmed | Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens |
title_short | Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens |
title_sort | simplicity: web-based visualization and analysis of high-throughput cancer cell line screens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515753/ https://www.ncbi.nlm.nih.gov/pubmed/37745579 http://dx.doi.org/10.1101/2023.09.08.556619 |
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