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Navigating Microbiome Insights, Powering Informed Decisions


PIONEERING MICROBIOME DATA ANALYSIS FOR PERSONALIZED INSIGHTS

Our advanced analytics transform intricate data into actionable wellness
strategies


AREA OF EXPERTISE

Data Analysis

ExonTro excels in sophisticated data analysis, leveraging advanced algorithms to
unravel the complexities of microbiome datasets and unveil crucial insights for
informed decision-making.

Data Management

ExonTro employs robust data management solutions to ensure the secure and
efficient handling of microbiome datasets, facilitating precise analysis.

Data Reviews

ExonTro conducts thorough data reviews, meticulously examining microbiome
datasets to extract meaningful patterns and refine insights that contribute to
advancements in personalised solutions.


16S/18S RRNA SEQUENCE ANALYSIS

Our 16S/18S rRNA sequence analysis service employs cutting-edge techniques to
provide comprehensive insights into microbial communities, facilitating a deeper
understanding of genetic diversity and ecological dynamics.




MICROBIOME ANALYTICS SUITE

 1. Metagenomic Sequencing
 2. Taxonomic Profiling
 3. Statistical Modeling
 4. Customised Reporting
 5. Consultation and Interpretation
 6. Integration with Clinical Data





ABOUT US

Our team of microbiome analysts comprises experts with deep knowledge and
understanding of microbial ecosystems, utilizing cutting-edge bioinformatics
tools and statistical methodologies to delve into complex microbiome datasets.
Their proficiency extends across various domains, including microbial genomics,
metagenomics, and microbial ecology, allowing them to provide comprehensive
analytical services.

Whether you are dealing with large-scale datasets or complex microbial
interactions, our analysts can offer tailored solutions to meet your unique
research needs. They stay abreast of the latest scientific advancements to
ensure that your analysis is not only accurate but also incorporates the most
recent insights in the field. Trust in our team to help you decipher the
intricate relationships within microbiomes and to illuminate pathways for novel
discoveries that could propel your research forward.

About the founder

Ojas Dixit, with an extensive background in microbiome and microbial
characterization, emerges as a valuable asset for our team. His proficiency in
molecular and bioinformatics techniques, showcased through multiple research
projects and publications, highlights his expertise in investigating microbial
communities. With a solid foundation in diverse lab techniques, data analysis
tools, and biostatistics, Ojas brings a wealth of hands-on experience to
contribute to our dynamic team. His commitment to advancing research in
gastrointestinal diseases and antibiotic resistance aligns seamlessly with our
company’s objectives, ensuring a collaborative and innovative approach in
driving impactful microbiome insights.


5+


PROJECTS COMPLETED

With a proven track record of successfully completing more than five projects,
our team demonstrates extensive experience and a commitment to delivering
high-quality results in microbiome data analysis.


60%


COMPANY GROWTH

Our company is experiencing robust growth, marked by an expanding client base
and a continual increase in projects. This success reflects our commitment to
excellence in microbiome data analysis and underscores our position as a leader
in the field.


4+


YEARS OF EXPERIENCE

With over four years of dedicated experience, our team brings extensive
knowledge and proficiency to every aspect of microbiome data analysis, ensuring
top-tier solutions tailored to your unique needs.


OUR AMAZING TEAM

Our incredible team is the driving force behind our success in microbiome data
analysis. Their expertise, passion, and collaborative spirit form the foundation
of our commitment to delivering exceptional results and pushing the boundaries
of innovation in our field.


CONTACT US

We’d love to hear from you!

Name(required)
Email(required)
Message
Contact Us

Tailored Microbiome Data Analysis

info@exontro.com.au


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