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

Longfei Wang, Qin Yang, Adriana Jaimes, Tianyu Wang, Hendrik Strobelt, Jenny Chen, Piotr Sliz
Author Information
  1. Longfei Wang: 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.
  2. Qin Yang: 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.
  3. Adriana Jaimes: 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.
  4. Tianyu Wang: 2 Department of Physiology and Biophysics, University of California, Irvine, CA, USA.
  5. Hendrik Strobelt: 3 School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
  6. Jenny Chen: 4 Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  7. Piotr Sliz: 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.

Abstract

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.

Keywords

Grants

  1. R01 CA163647/NCI NIH HHS

MeSH Term

Computers
Data Analysis
High-Throughput Screening Assays
Internet
Software
User-Computer Interface

Word Cloud

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