Comprehensive meta analysis odds ratio software#
Comprehensive meta analysis odds ratio series#
Comprehensive meta analysis odds ratio free#

Comprehensive meta analysis odds ratio software#

Next, we set out to validate the MIX output with two major software packages as reference standards, namely STATA (metan, metabias, and metatrim and Comprehensive Meta-Analysis Version 2.

Comprehensive meta analysis odds ratio free#

The development took approximately two years and resulted in the 'MIX' program, which can be downloaded from the program's website free of charge. The main programming language was Visual Basic, as implemented in Visual Basic 6 and Visual Basic for Applications in Excel 2000 and higher. Results We took an unconventional approach and created a program that uses Excel as a calculation and programming platform. We specifically aimed at students and researchers who are new to meta-analysis, with important parts of the development oriented towards creating internal interactive tutoring tools and designing features that would facilitate usage of the software as a companion to existing books on meta-analysis. 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.

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 analysisДevelopment and validation of MIX: comprehensive free software for meta-analysis of causal research dataДirectory of Open Access Journals (Sweden)ДЇull 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.

Comprehensive meta analysis odds ratio 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, HuaiqiuДuring 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.