Microbial Land Scape

MICROBIAL LAND SCAPE Explore the environments within microbial communities

RUSTT.APP ↗

Soil predicted
Bacterial profiles

Color by:

Number of Neighbors

Local Connectivity

Minimum distance

Placeholder for UMAP figure:

The UMAP figure here will be generated using ONLY samples uploaded on the [Predictions] tab (or the built-in test dataset) after clicking [Predict with Random Forest]. The UMAP plot reflects actual bacterial abundance within each sample. Predicted values are not used as UMAP variables but only for colouring.

The parameters on the left control the shape of the UMAP plot. These parameters are arbitrarily chosen and are likely to have the most significant effect on the embedding shape.

* Color by:
column from the predicted metadata; also used for the raincloud plot when you lasso-select dots.

* Number of Neighbors:
controls local structure — how many neighbours each sample considers per cluster. Integer > 1.

* Local Connectivity:
minimum connections per sample; larger values spread clusters more.

* Minimum distance:
value between 0 and 1; lower = finer local structure, higher = global layout.

For an explanation of UMAP hyperparameters, refer to this blog written by Andy Coenen and Adam Pearce.

Color by:

Number of Neighbors

Local Connectivity

Minimum distance

Australian Microbiome integration

Australian Microbiome Initiative is an Australian Government funded project to catalogue microbiome data and accompanied metadata gathered across various regions of Australia. To learn more about protocols, metadata methods, and raw data generation, visit the official Australian Microbiome Initiative website by clicking on the picture on the left.

The bacterial profiles from AMI samples were generated using the AGRF DivPro pipeline, will be merged with either a built-in test dataset or an uploaded dataset. The combined dataset will be plotted using UMAP and linked to a geographical map, where the coordinates for the test data are predicted. In this visualization, new batch (test) samples are represented with the usual position icon (a hot air balloon shape), while AMI samples are displayed as semi-transparent circles. You can use the UMAP plot to select clusters of nearby samples to see how they align on the geographical map and gather metadata for the selected samples in the linked interactive table. You can use rectangle or lasso selection tools for this purpose.

NVIS and ALUM8 for environment labels

The National Vegetation Information System (NVIS) version 7.0 (Nov 2024) was used to assign soil samples spatially to major vegetation group labels (MVG), as defined in the extant layer referencing Australia’s 2016 conditions. Visit the official NVIS website by clicking on the picture on the left for more details. MVG are broad categories of vegetation types used to classify and map Australia's natural and modified landscapes. MVGs represent major structural and floristic groupings of vegetation, such as rainforests, woodlands, grasslands, and shrublands, based on dominant plant species and environmental characteristics. These classifications provide a consistent framework for understanding vegetation distribution and support environmental planning, conservation, and management. Covering the entire Australian continent, MVGs reflect the diversity of ecosystems across various climates and geographies, enabling a comprehensive representation of the country's vegetation patterns.

A substantial portion of the soil microbiome samples (~30-40%) from the AMI dataset fell into areas categorized by NVIS7 as MVG class 'Human-Affected Non-Native Vegetation'. These samples were further classified using spatial information from the Australian Land Use and Management Classification Version 8 (ALUM8) database (October 2016). This spatial layer provided more granular insights into soil specimens collected from agricultural and urban areas.

Color by

Number of Neighbors

Local Connectivity

Minimum distance

Explore · Export · Share

Build your sample report

Your sample's predictions, bacterial profile, and AMI comparisons in one interactive HTML file.

Choose a sample

Filename:

One sample per report. Generation may take a few seconds.

Report guide

How do I prepare a report?

In Predictions, upload a compatible abundance table or use the built-in samples, then click Predict with randomForest.
In AustralianMicrobiome, embed your samples with the AMI reference dataset.
Return here, select a sample, and choose Download HTML report.

What's included?

Sample diversity metrics and predicted soil pH.
The top three environment classification results.
The top 10 bacterial taxa, with an interactive sunburst chart.
The 10 most similar AMI samples and an interactive offline map.
The UMAP embedding with a linked sample table.

How do I save and open it?

The download is a single HTML file named Report_<sample name>.html. Your browser saves it to its usual download location or asks you where to save it.

Open the file in a web browser. The charts and embedded Australian map remain interactive without an internet connection.

Which settings does the report use?

The report uses your current sample predictions and the UMAP settings from AustralianMicrobiome. If you change the embedding settings, wait for the updated plot before downloading again.

Model predictions are estimates. UMAP axes describe similarity between profiles, not geographic coordinates.

Why does the download take a moment?

The app builds the report when you click Download, combining the sample results and interactive charts into one file. A progress notification appears while it is being prepared.

Keep the app tab open until the download begins. To export another sample, change the selection and download again.

Click the button below to perform a prediction using the built-in test dataset. Alternatively, you can upload your own data in a TSV file generated by the AGRF DivPro pipeline. For the upload, please use the bacterial relative abundance file from the Results folder named: silva_rel-table-7.tsv.

Select samples with [Lasso Select] or [Box Select] tool from the UMAP figure on the right. Hover over the top-right corner of the UMAP plot, click, then pick an area.

Selected vs unselected samples

Placeholder for UMAP figure:

The parameters on the left control the shape of the UMAP plot. These parameters are arbitrarily chosen and are likely to have the most significant effect on the embedding shape.

* Color by:
column from the predicted metadata; also used for the raincloud plot when you lasso-select dots.

* Number of Neighbors:
controls local structure — how many neighbours each sample considers per cluster. Integer > 1.

* Local Connectivity:
minimum connections per sample; larger values spread clusters more.

* Minimum distance:
value between 0 and 1; lower = finer local structure, higher = global layout.

For an explanation of UMAP hyperparameters, refer to this blog written by Andy Coenen and Adam Pearce.

Click on the button below to perform UMAP embedding with AMI soil subset data

Geographical map

Selected samples (use Box or Lasso select tools from umap figure the top right corner)

.

.

Select samples with [Lasso Select] or [Box Select] tool from UMAP figure on the right side. Hover over the top right corner of UMAP plot, then click, then pick the area on UMAP plot.

Number of detected bacterial species (OTUs) in Selected [blue] vs unselected [orange] samples.

Australian Microbiome integration

NVIS and ALUM8 for environment labels

Build your sample report

Report guide

Click the button below to perform a prediction using the built-in test dataset. Alternatively, you can upload your own data in a TSV file generated by the AGRF DivPro pipeline. For the upload, please use the bacterial relative abundance file from the Results folder named: silva_rel-table-7.tsv.

Select samples with [Lasso Select] or [Box Select] tool from the UMAP figure on the right. Hover over the top-right corner of the UMAP plot, click, then pick an area.

Selected vs unselected samples

Placeholder for UMAP figure:

The parameters on the left control the shape of the UMAP plot. These parameters are arbitrarily chosen and are likely to have the most significant effect on the embedding shape.

* Color by: column from the predicted metadata; also used for the raincloud plot when you lasso-select dots.

* Number of Neighbors: controls local structure — how many neighbours each sample considers per cluster. Integer > 1.

* Local Connectivity: minimum connections per sample; larger values spread clusters more.

* Minimum distance: value between 0 and 1; lower = finer local structure, higher = global layout.

For an explanation of UMAP hyperparameters, refer to this blog written by Andy Coenen and Adam Pearce.

Click on the button below to perform UMAP embedding with AMI soil subset data

Geographical map

Selected samples (use Box or Lasso select tools from umap figure the top right corner)

.

.

Select samples with [Lasso Select] or [Box Select] tool from UMAP figure on the right side. Hover over the top right corner of UMAP plot, then click, then pick the area on UMAP plot.

Number of detected bacterial species (OTUs) in Selected [blue] vs unselected [orange] samples.

Australian Microbiome integration

NVIS and ALUM8 for environment labels

Build your sample report

Report guide

* Color by:
column from the predicted metadata; also used for the raincloud plot when you lasso-select dots.

* Number of Neighbors:
controls local structure — how many neighbours each sample considers per cluster. Integer > 1.

* Local Connectivity:
minimum connections per sample; larger values spread clusters more.

* Minimum distance:
value between 0 and 1; lower = finer local structure, higher = global layout.