MATHT: A web server for comprehensive transcriptome data analysis. (14th October 2018)

• Record Type: Journal Article
• Authors: Song, Wei; Liu, Huaping; Wang, Jiajia; Kong, Yan; Yin, Xia; Zang, Weidong
• Is Part Of: Journal of theoretical biology. Volume 455(2018)
• Page Start: 140
• Page End: 146
• Publication Date: 2018-10-14
• Subjects: Web server -- Transcriptome data analysis -- Integration -- Standardization across platforms -- Network analysis; Biology -- Periodicals; Biological Science Disciplines -- Periodicals; Biology -- Periodicals; Biologie -- Périodiques; Theoretische biologie; Biology; Periodicals; 571.05
• DOI: 10.1016/j.jtbi.2018.07.021
• Languages: English
• ISSNs: 0022-5193

Abstract

Highlights: MATHT enables analysis of microarray data from two-channel platform. MATHT provides integration of datasets from different platforms. Integrated network analysis is available in MATHT. Sequencing structure analysis such as exon selection is allowed in MATHT. 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.