General organization
The genome viewer can be accessed through many pages on the Listeriomics website. From the home webpage, from the transcriptomics and proteomics summary pages, from the gene tool webpage, and from the small RNA tool webpage.
 Printscreen of the Genome viewer of the Listeriomics website |
Control panel
- Add data
- Move the genome position, zoom in, zoom out
- Manage displayed datasets
Omics data viewer
The panel in which "omics" datasets are displayed
Genome annotation
All genome features available for the displayed Listeria strain genome.
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Control panel
Control panel of the genome viewer
 Dialog window for adding data to genome viewer |
Add data: Displays the small RNA in the genome viewer to see surrounding genome features.
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 Printscreen of the same region with different bp scale |
Change view: from the nucleotide scale to genome-wide scale.omDialog window for adding data to genome viewer
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 Dialog window for managin data et getting the legend for the genome viewer |
Manage data: All supplementary information available from all the studies in which the small RNA was detected.
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Omics data viewer
Omics data viewer of the genome viewer
Omics data viewer of the genome viewer |
Click on Expression Atlas on the Omics selection panel
- RNASeq data: Select the value of Log(Fold Change) used to detect differential expression.
- Tiling array, Gene expression array and TSS data: Display selected datasets in the genome viewer in which the small RNA will be highlighted, or to the heatmap viewer to show the values of Log(Fold-change).
- Proteomic data: List of relative value expression data in which the small RNAis over-expressed (i.e. Log(FC) > cut-off).
- Move view vertically: List of relative value expression data in which the small RNAis under-expressed (i.e. Log(FC) < - cut-off).
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Genome annotation
Genome annotation panel of the genome viewer
Genome annotation panel of the genome viewer |
Click on Expression Atlas on the Omics selection panel
- Base pair condition: Select the value of Log(Fold Change) used to detect differential expression.
- Genome annotation: Display selected datasets in the genome viewer in which the small RNA will be highlighted.
- Move view horizontally: List of relative value expression data in which the small RNAis over-expressed (i.e. Log(FC) > cut-off).
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