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BatchServer: A Web Server for Batch Effect Evaluation, Visualization, and Correction

delete2020-12-18
delete17
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OA
AI
T
Tiansheng Zhu
R
Rui Sun
F
Fangfei Zhang
G
Guo-Bo Chen
X
Xiao Yi
G
Guan Ruan
C
Chunhui Yuan
S
Shuigeng Zhou *
T
Tiannan Guo *
DOI:10.1021/acs.jproteome.0c00488delete
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Abstract

Abstract

En 中文
Batch effects are unwanted data variations that may obscure biological signals, leading to bias or errors in subsequent data analyses. Effective evaluation and elimination of batch effects are necessary for omics data analysis. In order to facilitate the evaluation and correction of batch effects, here we present BatchSever, an open-source R/Shiny based user-friendly interactive graphical web platform for batch effects analysis. In BatchServer, we introduced autoComBat, a modified version of ComBat, which is the most widely adopted tool for batch effect correction. BatchServer uses PVCA (Principal Variance Component Analysis) and UMAP (Manifold Approximation and Projection) for evaluation and visualization of batch effects. We demonstrate its applications in multiple proteomics and transcriptomic data sets. BatchServer is provided at https://lifeinfor.shinyapps.io/batchserver/ as a web server. The source codes are freely available at https://github.com/guomics-lab/batch_server.
Keywords:
batch effects
data preprocess
ComBat
bioinformatics

Journal

Journal of Proteome Research cover
Journal of Proteome Research
IF:
3.6
Papers:
9.3K
Citations:
2.3W

Organization

H
Hangzhou Medical College
Scholars:
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Citations: 4.7K
F
fudan university
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11.6W
Papers: 7.7W
Citations: 121
W
westlake university
Scholars:
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Papers: 3.7K
Citations: 8
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