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.
Rust Turakulov
rust.turakulov@agrf.org.au
Senior Developer
Rust Turakulov’s professional
journey has been rich in bioinformatics, data analysis, and pipeline
development, showcasing a progressive mastery of Perl, Shell, SQL, R,
and long list of bioinformatics tools. His work has included clustering
algorithms for genetic classification, developing GATK and other callers
genotyping pipelines, integrating complex data-flow systems. Rust has
also created automated workflows and reporting for the bacterial 16S
sequence analysis and contributed to patented diagnostic methods. His
expertise extends to developing analytical methods for very large
genomics data, tumor classification based on multiomics data, and
creating comprehensive data management portals. Recently, he has focused
on integration of large datasets from public and private domains and the
development of interactive user interfaces, showcasing his deep
proficiency in bioinformatics and data-driven research.
Melbourne Genomics co funded two projects with AGRF to establish MVP for data tracking platforms. The scope for those project described in below documents:
The hyperlink provided to the websites below may not work as AWS machine could be switched off.