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Enrichment Analysis
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Enrichment analysis is a popular method for analyzing gene sets to interpret gene expression data.

Read before use
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Users need to prepare one files, a list of genes of interest.

**The gene list:** The first column is Geneid. The name of first column must be Geneid. Data from excel (format: xlsx).

GO Analysis
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This tool provides a Gene Ontology (GO) analysis, which is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments.

**Input example data:** `Gene list <https://github.com/Jasonxu0109/MangroveDB/releases/download/Example/Up-regulated_genes.xlsx>`_.

.. image:: ../../_static/images/GO.png
        :width: 100%
        :align: center
		
KEGG Analysis
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This tool provides a KEGG analysis. Pathway enrichment analysis helps researchers gain mechanistic insight into gene lists generated from genome-scale (omics) experiments.

Users need to prepare one files, a list of genes of interest.

**The gene list:** The first column is Geneid. The name of first column must be Geneid. Data from excel (format: xlsx).

**Input example data:** `Gene list <https://github.com/Jasonxu0109/MangroveDB/releases/download/Example/Up-regulated_genes.xlsx>`_.

.. image:: ../../_static/images/KEGG.png
        :width: 100%
        :align: center

GO/KEGG Dotplot
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This tool provides dotplot, which is generally used in GO, KEGG pathway enrichment analysis, in which adjusted p values are represented by colors, gene counts are represented by bubble size.

Users need to prepare one files, result of GO/KEGG enrichment analysis.

**Result of GO/KEGG enrichment analysis:** The data must contain Count, Ratio, padj, Description, level columns. Data from txt (format: txt).

**Input example data:** `Result of GO/KEGG enrichment analysis <https://github.com/Jasonxu0109/MangroveDB/releases/download/Example/GO_results.txt>`_.

.. image:: ../../_static/images/dotplot.png
        :width: 100%
        :align: center
		
KEGG Cnetplot
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This tool provides cnetplot, which depicts the linkages of genes and biological concepts (e.g. GO terms or KEGG pathways) as a network.

Users need to prepare one files, a list of genes of interest.

**The gene list:** The first column is Geneid. The name of first column must be Geneid. Data from excel (format: xlsx).

**Input example data:** `Gene list <https://github.com/Jasonxu0109/MangroveDB/releases/download/Example/Up-regulated_genes.xlsx>`_.

.. image:: ../../_static/images/cnetplot.png
        :width: 100%
        :align: center