- Cma comprehensive meta analysis software#
- Cma comprehensive meta analysis series#
- Cma comprehensive meta analysis free#
We set out to create and validate an easy-to-use and comprehensive meta-analysis package that would be simple enough programming-wise to remain available as a free download. Unfortunately, it can take a substantial amount of time to get acquainted with some of these programs and most contain little or no interactive educational material.
Cma comprehensive meta analysis software#
Consequently, the number of software packages that can perform meta-analysis has increased over the years. So far, meta-analysis has been particularly useful in evaluating and comparing therapies and in assessing causes of disease. MetaComp, an integrative software capable for applying to all meta-omics data, originally distills the influence of living environment on microbial community by regression analysisĭevelopment and validation of MIX: comprehensive free software for meta-analysis of causal research dataĭirectory of Open Access Journals (Sweden)įull Text Available Abstract Background Meta-analysis has become a well-known method for synthesis of quantitative data from previously conducted research in applied health sciences. We further evaluate the performance of its choice, and exhibit applications for metagenomics, metaproteomics and metabolomics samples. Moreover, MetaComp is capable to automatically choose an appropriate two-group sample test based upon the traits of input abundance profiles. Here, regression analysis regards meta-omic features as independent variable and environmental factors as dependent variables. After data loading, analyses such as multivariate statistics, hypothesis testing of two-sample, multi-sample as well as two-group sample and a novel function-regression analysis of environmental factors are offered. This software is capable to read files generated by a variety of upstream programs.
Cma comprehensive meta analysis series#
We developed a graphical comprehensive analysis software named MetaComp comprising a series of statistical analysis approaches with visualized results for metagenomics and other meta-omics data comparison. Meanwhile, biologists are increasingly concerning about the correlations between meta-omics features and environmental factors, which may further decipher the adaptation strategy of a microbial community. Comparative meta-omics, especially comparative metageomics, has been established as a routine process to highlight the significant differences in taxon composition and functional gene abundance among microbiota samples. To reveal the diversity of microbial communities and interactions between living conditions and microbes, it is necessary to introduce comparative analysis based upon integration of all four types of data mentioned above.
Zhai, Peng Yang, Longshu Guo, Xiao Wang, Zhe Guo, Jiangtao Wang, Xiaoqi Zhu, Huaiqiuĭuring the past decade, the development of high throughput nucleic sequencing and mass spectrometry analysis techniques have enabled the characterization of microbial communities through metagenomics, metatranscriptomics, metaproteomics and metabolomics data. MetaComp: comprehensive analysis software for comparative meta-omics including comparative metagenomics.
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