Biostate AI’s platform connects samples, data, and clinical decisions — making precision health scalable, accessible, and actionable through low-cost sequencing and autonomous AI scientists.
Biostate has developed an innovative solution that integrates two proprietary technologies: BIRT (Barcode-Integrated Reverse Transcription) for sample multiplexing and PERD (Probes for Excess RNA Depletion) for non-enzymatic depletion of ribosomal RNA.
BIRT simplifies RNA sequencing through a unified barcoding and amplification process — replacing complex, multi-step library preparation with a faster, more reliable workflow. It reduces reagent use, shortens turnaround time, and ensures consistent high-quality data across large sample sets.
10× lower cost and 90% less RNA input — without compromising accuracy or reproducibility.
Validated across hundreds of samples with consistent, high-fidelity performance.
Each point represents gene expression from replicate samples — tightly aligned along the diagonal line, confirming reproducible results across runs.
Result: Correlation > 0.98 between replicates.
Compared with conventional RNA sequencing, BIRT + PERD detects a higher number of expressed genes from the same RNA input.
Result: ~15% increase in gene detection per sample.
rRNA depletion without enzymes
PERD removes high-abundance RNA species while preserving rare transcripts, improving signal clarity and reproducibility
Streamlined Chemistry
Enzyme-free workflow ensuring clean, consistent molecular reactions
Clearer Expression
Reduces background noise for sharper, more accurate RNA signals
Whether you are working with model organisms or human data, OmicsWeb applies expert-level context to your unique dataset. Powered by a base of over 5,000 proprietary RNA-Seq datasets, our platform leverages a vast pool of biological knowledge to identify subtle gene expression patterns and deliver sharper insights.
Ask complex scientific questions in plain English—OmicsWeb interprets and delivers results instantly.
Automatically writes and executes optimized R/Python workflows behind the scenes, with no manual coding required.
Includes QC, normalization, DE analysis, pathway enrichment, clustering, and more—all fully automated and reproducible.
Designed for RNA-seq, single-cell data, and additional omics modalities with tailored analytics for each.
Integrates molecular and imaging information for deeper biological insight.
Handles datasets of any size—from small pilot projects to large-scale, multi-terabyte studies—with high performance and reliability.
Speak with our experts to tailor solutions to your specific research needs.
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Whether you are working with model organisms or human data, OmicsWeb applies expert-level context to your unique dataset. Powered by a base of over 5,000 proprietary RNA-Seq datasets, our platform leverages a vast pool of biological knowledge to identify subtle gene expression patterns and deliver sharper insights.
MARE is a targeted enrichment technology engineered to rescue difficult genomic regions that standard WES consistently misses—especially exons with extreme GC content.
In challenging high-GC exons like RALGAPA1 exon 25, MARE preserves over 10× higher coverage than competing methods, securing data others can’t capture.
MARE maintains >150% normalized coverage across the difficult RALGAPA1 exon 25, demonstrating stable enrichment in GC-rich regions.
Both standard WES and other commercial kits drop below 15% coverage, leaving essential diagnostic loci undetected.
MARE ensures uniform signal in even the hardest-to-capture regions—providing complete visibility for precision diagnostics.
We have all the services to help your business
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Biostate AI’s platform connects samples, data, and clinical decisions — making precision health scalable, accessible, and actionable through low-cost sequencing and autonomous AI scientists.
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Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
Biostate AI’s platform connects samples, data, and clinical decisions — making precision health scalable, accessible, and actionable through low-cost sequencing and autonomous AI scientists.
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