Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8876492 | Journal of Theoretical Biology | 2018 | 30 Pages |
Abstract
The current software/algorithms for high-throughput sequence data analysis are not user-friendly. We developed MATHT, the Multifaceted Analysis Tool for Human Transcriptome, which is a free web server available at www.biocloudservice.com, to provide more comprehensive and reliable analysis of transcriptome data. The web server provides modules for data preprocessing, differential expression analysis, dataset integration, functional analysis, and network analysis. The sequence and structure analysis module is specially designed for RNA-seq data. MATHT is a user-friendly web server that provides comprehensive analysis of transcriptome data, especially integration analysis using special standardization across different platforms.
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Authors
Wei Song, Huaping Liu, Jiajia Wang, Yan Kong, Xia Yin, Weidong Zang,