MightyScreen: An Open-Source Visualization Application for Screening Data Analysis

被引：2

作者：

Wang, Longfei ^{[1
]}

Yang, Qin ^{[1
]}

Jaimes, Adriana ^{[1
]}

Wang, Tianyu ^{[2
]}

Strobelt, Hendrik ^{[3
]}

Chen, Jenny ^{[4
]}

Sliz, Piotr ^{[1
]}

机构：

[1] Harvard Med Sch, Dept Biol Chem & Mol Pharmacol, Boston, MA 02021 USA

[2] Univ Calif Irvine, Dept Physiol & Biophys, Irvine, CA 92717 USA

[3] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA

[4] Broad Inst MIT & Harvard, Cambridge, MA USA

来源：

SLAS DISCOVERY | 2018年 / 23卷 / 02期

关键词：

hit selection; visualization; interactive visualization; screening; open source; HIGH-THROUGHPUT; HIT SELECTION; NORMALIZATION; ASSAYS;

D O I：

10.1177/2472555217731983

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Screening is a methodology widely used in biological and biomedical research. There are numerous visualization methods to validate screening data quality but very few visualization applications capable of hit selection. Here, we present MightyScreen (mightyscreen.net), a novel web-based application designed for visual data evaluation as well as visual hit selection. We believe MightyScreen is an intuitive and interactive addition to conventional hit selection methods. We also provide study cases showing how MightyScreen is used to visually explore screening data and make hit selections.

引用

页码：218 / 223

页数：6

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