GECO: gene expression clustering optimization app for non-linear data visualization of patterns.

ABSTRACT:

Background

Due to continued advances in sequencing technology, the limitation in understanding biological systems through an "-omics" lens is no longer the generation of data, but the ability to analyze it. Importantly, much of this rich -omics data is publicly available waiting to be further investigated. Although many code-based pipelines exist, there is a lack of user-friendly and accessible applications that enable rapid analysis or visualization of data.

Results

GECO (Gene Expression Clustering Optimization; http://www.theGECOapp.com ) is a minimalistic GUI app that utilizes non-linear reduction techniques to rapidly visualize expression trends in many types of biological data matrices (such as bulk RNA-seq or proteomics). The required input is a data matrix with sample

SUBMITTER: Habowski AN 

PROVIDER: S-EPMC7831185 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature