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Genetic Screens

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...

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Updated: Feb 26, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

CrossCheck: an open-source web tool for high-throughput screen data analysis.

Jamil Najafov¹, Ayaz Najafov²

¹Department of Computer Engineering, Faculty of Engineering, Gazi University, Ankara, Turkey.

Scientific Reports

|July 21, 2017

Summary

This summary is machine-generated.

CrossCheck is a new online platform that simplifies high-throughput screening data analysis. It allows researchers to compare their gene lists against thousands of published datasets, aiding hypothesis generation.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

High-throughput screening generates large datasets requiring bioinformatics expertise for analysis.
Existing tools lack the ability to cross-reference user data with published screening results.
Efficient database mining and hypothesis generation are often challenging for researchers.

Purpose of the Study:

To develop an accessible online platform for high-throughput screening data analysis.
To enable researchers to compare their datasets with a comprehensive collection of published studies.
To streamline the process of data-driven hypothesis generation.

Main Methods:

Developed CrossCheck, a web-based platform and centralized database.
Integrated 16,231 published datasets including genome-wide RNAi, CRISPR, interactome, phosphoproteomics, and mutation data.
Incorporated a novel database of predicted protein kinase substrates derived from motif searches.

Main Results:

CrossCheck facilitates effortless comparison of user-entered gene symbols against extensive published data.
The platform simplifies the analysis of complex high-throughput screening results.
Enables researchers to efficiently explore published literature and generate testable hypotheses.

Conclusions:

CrossCheck significantly enhances the analysis of high-throughput screening data.
Provides researchers with a powerful tool for data mining and hypothesis generation.
Offers free web-based access to facilitate broader scientific discovery.