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It’s all about DNA… decoding

This is a place for AGRF hosted R Shiny applications:

FindMySNP allows users to check the presence or absence of SNP rsIDs across major Illumina microarrays, including the EPICv2 methylation chip. You can also search array annotations by gene symbol and compare gene coverage across multiple arrays.

FindMyTax not an ATO application. It searches bacteria name in taxonomy annotation for Silva reference database used for 16S rDNA amplicon sequencing. Matched sequences can be aligned with 16S primer and downloaded in FASTA format.It can answer questions like “Is my bacteria is in Silva database?” or “What identificatiuon can be done with the default primers?”.

CRC TiME Data Browser This application allows users to explore a 16S rDNA dataset from soil microbiome samples collected at mining re-vegetation sites. It provides access to full experimental metadata, UMAP-based clustering options, and differential abundance analysis based on user-selected contrasts. ⚠️ Due to a data embargo, access to this application is restricted. Please contact us if you would like to request access.
MicrobialLandScape This application allows users to upload output from AGRF’s DivPro pipeline (relative abundance CSV files) and integrate their data with the Australian Microbiome Initiative (AMI) reference dataset. It performs: machine learning predictions for soil physicochemical properties, dimensionality reduction with UMAP, annotation with the National Vegetation Information System (NVIS v7) and Australian Land Use System (ALUM v8). Individual sample reports can be generated as self-contained HTML files summarizing key findings. 🚧 This application is still under development but is currently open access.

Visitor counter. A small utility app that extracts and visualizes visit traces from website log files.


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Find My SNP

Find my SNP

Find My Tax

 Find my taxonomy in 16S database

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CRC TiME :: DATA BROWSER

CRC TiME UMAP application

Microbial Landscape :: DivPro + AMI

CRC TiME UMAP application

Expertise

The AGRF Bioinformatics team brings extensive expertise across a broad spectrum of biological analyses, with a strong focus on microbiome and genomic sequencing, population studies, and genome assemblies. We manage large-scale data integration and workflow automation, and develop intuitive visualization dashboards alongside robust data hosting solutions—enabling researchers to explore, interpret, and act on complex biological datasets with confidence.

Rust Turakulov, PhD

Senior Developer

AWS Certified

Rust Turakulov is a bioinformatician with strong experience in data analysis, workflow automation, and tool development across Perl, Shell, SQL, and R. He has worked on clustering methods for genetic data, built genotyping pipelines using GATK and other tools, and developed automated workflows for bacterial 16S analysis. His projects include tumor classification using multiomics data, scalable genomic data analysis, and user-facing data portals. Lately, his focus has shifted toward integrating large public and private datasets and building interactive R-Shiny interfaces for data exploration.


Past

AGTA 2024

Australian Genome Transfer Association 2024 Conference poster

Critically Assessing the Influence of Variable Region Selection on Bacterial Community Profiling: 16S rDNA and the sequencing. Open PDF poster


Genivate23

Melbourne Genomics co funded two projects with AGRF to establish MVP for data tracking platforms. The scope for those project described in below documents:

  • Federated Clinical Data Registry Platform: Open PDF document.
  • Clinical Data Lineage (AGRF data ledger) platform: Open PDF document.


  • The AWS instances supporting the projects have been shut down to reduce operational costs. However, all documentation and code remain available. If there is interest, either project can be reinstated within a reasonable time frame.