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MATHT: A web server for comprehensive transcriptome data analysis.

Wei Song1, Huaping Liu1, Jiajia Wang1

  • 1Eryun (ShangHai) Information Technology Co., Ltd., No. 951 Jianchuan Road, Minhang District, Shanghai 201109, PR China.

Journal of Theoretical Biology
|July 25, 2018
PubMed
Summary
This summary is machine-generated.

We created MATHT, a user-friendly web server for analyzing human transcriptome data. This tool offers comprehensive and reliable analysis, including data integration, especially for RNA-seq data.

Keywords:
IntegrationNetwork analysisStandardization across platformsTranscriptome data analysisWeb server

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Current high-throughput sequence data analysis tools lack user-friendliness.
  • Transcriptome data analysis requires comprehensive and reliable methods for accurate biological insights.

Purpose of the Study:

  • To develop a user-friendly web server for multifaceted analysis of human transcriptome data.
  • To provide a reliable platform for RNA-seq data analysis, including integration and functional analysis.

Main Methods:

  • Development of MATHT (Multifaceted Analysis Tool for Human Transcriptome), a free web server.
  • Implementation of modules for data preprocessing, differential expression, dataset integration, functional, and network analysis.
  • Inclusion of a specialized module for RNA-seq sequence and structure analysis.

Main Results:

  • MATHT offers a comprehensive suite of tools for transcriptome data analysis.
  • The web server facilitates user-friendly data preprocessing, differential expression, and functional analysis.
  • Specialized standardization enables robust integration of diverse transcriptome datasets across platforms.

Conclusions:

  • MATHT enhances the accessibility and reliability of human transcriptome data analysis.
  • The tool is particularly valuable for integrating and analyzing RNA-seq data.
  • MATHT provides a comprehensive solution for researchers in transcriptomics and related fields.