Gene Description
Normalized gene expression
ChIP-seq predicted binding sites
RNA-seq results
16S RNA tree

Click the button below to download templates for data upload:

Download File
Tips for using the app

πŸ“Š RNA-seq & ChIP-seq visualization

  • This page allows you to visualize and explore genomic data in various plot types (genome, RNA-seq, microarrays, ChIP-seq).
  • The page consists of a sidebar for selecting data and settings, and a main panel for displaying the plots.
🧭 Tab: Navigation
  • Left / Right arrows – shift the genome plot by 10,000 base pairs on the X-axis.
  • Zoom in / Zoom out – zoom into or out of the displayed genome region.
  • Minimal / Maximum value of plot – manually set the plot axis limits.
  • Apply Changes – confirms manual axis changes and must be used to trigger reactivity.
🧬 Tab: Selection
  • Select Streptomyces species – switch between S. coelicolor and S. venezuelae.
  • Show/hide visualizations – choose which plot types to display (Genome, RNA-seq, Microarray, ChIP-seq).
  • Choose gene from list – zoom to the selected gene on the genome.
  • RNA-seq Plot Data – choose up to 3 RNA-seq datasets.
  • ChIP-seq Plot Data – choose one ChIP-seq dataset.
  • Choose comparison for analysis – select type of comparison (e.g., strain, timepoint, conditions).
πŸ“Š Tab: Plot settings
  • LogFC Filtering – filter plot based on lower/higher log fold change values.
  • FDR Filtering – show only data with FDR ≀ 0.05.
⬆️ Tab: Upload data
  • Browse… / drag & drop file – upload data file from your computer.
  • Is RNA-seq file in app format? (Yes/No) – indicate if the format matches app structure.
  • Custom file name – assign a name that will appear in plot selectors.
⬇️ Tab: Plot download
  • Download png plot – export plot as a PNG image.
  • Resolution and size settings – optionally adjust width, height, and DPI before download.
🧾 Additional: Data tables under plots
  • RNAseq on plot – genes visible on the RNA-seq plot.
  • RNAseq no filter – full RNA-seq dataset (unfiltered).
  • ChIPseq in table – genes shown on the ChIP-seq plot.
  • Search: – search bar to filter table contents.
πŸ“Š Comparison of data
  • This page allows comparing datasets visually via Venn diagrams and heatmaps.
  • Similar to the RNA-seq & ChIP-seq page, it consists of a sidebar for inputs and a main panel for plots.
🧬 Tab: Selection
  • Venn Diagram Data – choose up to 4 comparisons from RNA-seq or microarray datasets (including user uploads) for the Venn diagram and heatmap.
  • Heatmap Gene Name Input – type gene names (comma-separated) to filter and display them in the heatmap, e.g., SCO6276, SCO6277.
πŸ”§ Tab: Venn LogFC option
  • Allows setting upper and lower logFC thresholds for Venn diagram filtering.
  • Does not affect the Heatmap.
  • Only comparisons with logFC outside the set range are shown (default: -1.5 to 1.5).
  • FDR is always ≀ 0.05 by default – cannot be changed.
⬇️ Tab: Plot download
  • Plot Download Venn – download the Venn diagram as a PNG file.
  • Plot Download Heat – download the heatmap as a PNG file.
πŸ“Œ Plot behavior and logic
  • Venn diagram supports max. 4 comparisons – if more are selected, an "UpSet" plot is shown instead.
  • Below the Venn diagram, genes from shared or unique subsets are listed in tables.
  • These gene lists can be copied into the Heatmap gene input field.
  • Heatmap shows only genes from selected comparisons, filtered by FDR ≀ 0.05 and the typed gene list.
  • Gray cells in the heatmap indicate missing values for selected genes.
  • Clustering: similar genes and comparisons are grouped using dendrograms (left for genes, top for comparisons).
🧬 Gene Inspector
  • The Gene Inspector tab is a dashboard-like view dedicated to exploring a single gene in detail.
  • It integrates RNA-seq, ChIP-seq, and homology search results, along with genbank/uniprot annotation data for each gene.
  • The sidebar provides controls for entering the gene locus (e.g., SCO2950), switching species and adjusting various filters.
πŸ“– Panels and Outputs
  • Gene Description – shows annotation data, including locus, product, protein length, UniProt links, and notes.
  • Normalized gene expression – line plots of normalized RNA-seq expression across timepoints, when grown in liquid medium, with optional extra genes for comparison.
  • ChIP-seq predicted binding sites – visualizes binding events around the selected gene, with adjustable flanking region size and dataset selection.
  • RNA-seq results – offers both a expression plot and a data table of differential expression results for the chosen gene.
  • 16S RNA tree – displays a 16SRNA phylogenetic tree for representative Actinobacteria species with marked presence of selected gene, with filtering options for score and sequence length, plus a corresponding data table.
βš™οΈ Sidebar Options
  • Gene Input – enter a locus tag manually; toggle between S. coelicolor and S. venezuelae.
  • Expression Comparison – add multiple genes to overlay their normalized expression profiles.
  • 16S RNA tree options – filter homologues by alignment score, minimum and maximum length.
  • RNA-seq plot options – filter results by log fold change threshold.
  • ChIP-seq plot options – adjust flanking region size and select which ChIP-seq datasets to display.
Packages used in app creation
Publications from which data was taken
Additional information about author

Contact to authors:

  • Marek Skrzynski - marekskrzynski3@gmail.com
  • dr Agnieszka Strzalka - agnieszka.strzalka@uwr.edu.pl
  • Link to the app GitHub repository: https://github.com/Majusz1320/Praca_magisterska_Marek_Skrzynski