Tutorial

In RiceENCODE, we have integrated a large number of epigenetic data (ChIP-Seq,HiC,ChIA-PET,ATAC-Seq,Mnase-Seq,FAIRE-Seq,BS-Seq) and transctiptome data (RNA-Seq) from different species and tissues of plants from GEO, which provides an important browsing and searching module for the study of plant epigenomics.

PDF for using RiceENCODE

Download the tutorial file here tutorial PDF

Video for using RiceENCODE

1. Home page.

2. Genome Browser.

3. Browse and search Histone modification in different samples.

4. Browse and search chromatin accessibility.

5. Browse and search interaction between gene to gene and gene to regions.

6. Browse and search gene expression.

7. Browse and search DNA methylation level.

8. Browse and search Chromatin state in different tissues and species.

9. Download all the bigwig and peaks file for different datasets.


1. Home page. Back to top


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Part 1:

The top navigation menu gathers general functions of the database, including links to different search modules.

Part 2:

Schematic diagram of the introduction to the RiceENCODE search module. Each orange part can jump to the page respectively.

1.1 Quick search. cpg

Quick search engine to help users query the histone modification, DNA interaction information, and tissue expression flexibly. This kind of global search can help users quickly locate the marker histone modification or DNA interaction, especially when users have no clear target histone modifications to search. Select target genome and tissues then submit the gene ID and click on the search button.

For example (OsPsbS) the genome browser in results like this:

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The resulted tabular layout looks like this:

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2. Genome Browser. Back to top

In Genome Browser module, RiceENCODE provides a WashU Epigenome Browser instance to better visualize large number of epigenetic datasets.More details about WashU Epigenome Browser can be found in its official documentation: WashU Epigenome Browser Documentation

2.1 Select the assembly and genome region you interested

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2.2 Select the annotated track and public hub

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2.3 Choose the data hub

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2.4 Select the data type from tissues and species

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2.5 Add the data track you choosed

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2.6 Genome browser for your track

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3. Browse and search Histone modification in different samples. Back to top

In histone modification module, users can easily search for histone modification signals in different tissues.

3.1 Select genomes tissues and histone modifications.

To get the histone modification signals information. you can either select a query genome region or a target gene after you selected target genome ,histone mark and tissues.And click on the Search button to get the results.

histone modification

3.2 Histone modification overview

The histone modification viewer provides and tabular layouts for the resulted blocks.

histone table

Corresponding to peak regions in different tissues

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4. Browse and search chromatin accessibility. Back to top

In chromatin accessibility module, users can easily search for chromatin accessibility signals (Dnase-Seq, ATAC-Seq,Mnase-Seq,FAIRE-Seq )in different tissues.

chromatin accessibility

5. Browse and search interaction from gene to gene and gene to regions. Back to top

In 3D interaction search module, users can easily search for gene-gene interactions, gene-region interactions and region-region interactions in different genome ,tissues and sequencing.

3D

The meanings of part are listed below:

Part 1:

shows the selector for genome and sequencing.

Part 2:

In the loop ID search module, fill in the blanks with an loop ID (MH63_H3K4me3_Loop1) then cilck the search button and resulted tabular layout looks like this:

3D

Click orange part the result look like this:

3D

Part 3:

In the gene-region search module, users may have some interesting gene and want to know the interactive regions.Fill the gene ID (Ghd7.1) and the resulted tabular layout looks like this:

3D

Click orange part the result look like this:

3D

Part 4:

In the region-region search module, users may have some interesting region and want to know the interactive regions.Fill the chr:start-end and the resulted tabular layout looks like this:

3D

Click the loop number (MH63_H3K4me3_Loop1) the result look like this:

3D

Part 5 and 6:

In the gene-gene search module, users may have some interesting gene and want to know the interactive gene.Fill the gene ID or gene name in part 5 and choose the extend degree in part 6(extend degree means the network connectivity). The resulted tabular and network layout looks like this:

3D

3D

6. Browse and search gene expression. Back to top

In gene expression search module, users can easily search for FPKM from different tissues transcriptome data(RNA-Seq) we collected.

6.1 Select genomes and fill the gene ID or gene name.

To get the gene expression level information. you can either select a query genome and a target gene .And click on the Search button to get the results.

aseqtable

6.2 Gene expression overview

The gene expression viewer provides and bar plot for the resulted blocks.

aseqtable

7. Browse and search DNA methylation level. Back to top

In DNA methylation search module, users can easily search DNA methylation level for genes ,regions and DMR between different tissues.

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The meanings of part are listed below:

Part 1:

shows the selector for genome methylation type.

Part 2 and 3:

In the gene ID search module, fill in the blanks with an gene ID (MH01g0710600/OsPsbS) , gene name or chr:start-end then cilck the search button and resulted tabular layout looks like this:

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Part 4:

In the DMR search module, fill in the blanks with the chr:start-end then cilck the DMR search button and resulted tabular layout looks like this:

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For example click the DMR number (CHG-DMR_32210) the result look like this:

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8. Browse and search Chromatin state in different tissues and species Back to top

CENCODE provides chromatin states search module. Although users are only allowed to search limited tissues we collected, the easily online search module can help biologists better understand the epigenetic regulation of interested regions or genes.

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The resulted tabular layout looks like this:

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Bar plot for chromatin state counts:

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9. Download all the bigwig and peaks file for different datasets. Back to top

RiceENCODE provides bigwig and peak file for users downloading.

download

Thanks for using RiceENCODE!