| Introduction |
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iODA, short for integrative Omics Data Analysis, is an evidence-based bioinformatics model and software tool for omics data analysis.
iODA is a graphical user interface (GUI) local tool with the aim of integrating and analyzing data sets including mRNA, microRNA (miRNA), and protein–DNA interaction (chromatin immunoprecipitation followed by high-throughput sequencing, ChIP-Seq) for pathway consistency (Figure 1).
It has five main functions:
1. Selection of statistical algorithms based on the input profiles to find one that is global optimal for differential molecule extraction.
2. Significant pathway identification based on the detected DE-genes and identified targets of DE-miRNAs.
3. Significant pathway identification based on transcript factor binding sites (ChIP-Seq data).
4. Single-level pathway consistency analysis using the significant pathways that were identified from different data sets.
5. Meta-analysis on the screened pathways and gathered items that are consistent for different levels of data. |
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| Figure 1. The working pipeline of iODA. |
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| Download |
| 1. The Java executable file: iODA_v1.0.zip |
| 2. The example data: Example_Data.zip |
| 3. The tutorial file: iODA Tutorial.zip |
| 4. The case study results: AdditionalFiles.zip |
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| About us |
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| Center for Systems Biology |
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| Soochow University |
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