Decode the impact of every disease variant,
co-located from all available multi-omic dataspace.
Insights obtained from multi-omic clinical and biomedical data hold the key to accelerate precision health.
However, the multi-omic data is large, heterogenous, and importantly extraction of meaningful insights require specific technical skills, scientific know-how, and computational infrastructure.
Furthermore, large amount of -omic data with potentially targetable, but yet unanalyzed features exists in several scientific databases. The full potential of multi-omics hence remain untapped.
Bainom provides a unique product to democratize multi-omic data for advancing precision health – BAINOM-nX for Precision Health.
Healthcare professionals can utilize our universal, up-to-date clinical data silo as a searchable knowledgebase for assessing the full impact of every known actionable disease variant in cancers and other genetic diseases.
Healthcare professionals can also employ our smart, end-to-end multi-omic analysis workflows for inference of patient genotyping or genome wide -omic sequencing data.
In addition, users can seamlessly generate comprehensive, ranked, interactive, and intuitive precision reports with ML guided suggestions for individualized therapy.
Login/signup with secure multi-step authentication.Â
Upload patient targeted genotyping or genome wide -omic sequencing data in any format, processing stage, or size. Data can be ported from both on-premise systems or a cloud platform.
Custom settings to chose data privacy levels.Â
Raw sequencing data files (e.g., FASTQ) structured and securely stored in cloud with anytime access.
Novel, compressed formats for infrequently used data files, significantly reducing storage costs.
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Systematic quality control of raw data coming from any high-throughput sequencing pipeline.Â
Sample-type specific pipelines for data cleanup operations; demultiplexing, adapter removal, filtering of concatamers and PCR duplicates.
Clinical AI workflows optimized for processing data from different next generation sequencing experiments. Â
Detailed read/interval quality metrics, outlier detection, and imputation for missing data points.
Intuitive dashboard to explore descriptive statistics of processed data.
Actionable versions of processed data (e.g, BAM, BED, bedgraph) readily available for download or analysis.
All known variations ported from every high-quality source, including databases, case studies, knowledgebases, research articles.
Features carefully consolidated from 75+ high-quality scientific repositories.
Validated annotation for features that contain multiple entries in the repositories.
Inclusion of all FDA approved, case study based, and strong evidence -omic features, allowing in-depth parsing of patient data.
Variants scored and organized in tiers that allow multi-layered personalization of therapy options.
Virtual real-time matching of processed sequencing data of patients with Bainom annotation of clinical features.
Cutting-edge statistical methods for peak calling that quantify read coverage at any region of interest across the genome.
Nucleotide resolution peak calling for each genomic feature, providing unprecedented accuracy and details.
Ready-to-go extraction pipelines for all actionable -omic features, ranging from DNA variations (SNPs, InDels, CNVs) to RNA processing (expression, splicing, fusions).Â
Platform modularity allows rapid creation of new algorithms for custom feature extraction.
Detailed metagenomics and analysis of read distributions across genome for any selected feature.
When available, option to integrate other clinical parameters to the analysis (e.g., age, tumor stage, gender).
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Intuitive summary of main variants highlighting risk and clinical attention scores.
Interactive genome browser to investigate each variant.
Filter/sort options to shortlist variants based on clinical relevance, therapeutic potential.Â
Information organized intuitively for seamless sharing and collaboration.
Stringent data security guidelines.
Minimalistic, responsive and user friendly interface.
Powerful data visualization using cutting-edge data analytic applications.
Customizable analysis pipelines allow addition or modification of workflows.
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Multi-layered analytics & info sections for systematically investigating the details of each variant, down to the nucleotide level.
Feature specific plots organized in a customizable publication quality format with summary of important conclusions at each stage.
Options to re-arrange, modify, and format plots OR custom tools to generate additional plots.
Multi-layered analytics & info sections for systematically investigating the details of each variant, down to the nucleotide level.
Feature specific plots organized in a customizable publication quality format with summary of important conclusions at each stage.
Options to re-arrange, modify, and format plots OR custom tools to generate additional plots.
Aggregated compilation of clinically actionable variants, co-located from every high-quality source, including databases, case studies, knowledgebases, and research articles.
Validated annotation for features that contain multiple entries in the repositories.
Inclusion of all FDA approved, case study based, and strong evidence -omic features, allowing in-depth parsing of patient data.
Variants scored and arranged in multiple tiers based on evidence strength, clinical relevance, and unique patient metrics.
Filtering and sorting functionalities for customization reporting of therapy options.
Up-to-date connection with all ongoing and completed clinical trials.
Utilize our powerful AI/ML driven bioinformatics combined with the multi-omic tensor of all pre-analyzed clinical features to identify novel disease biomarkers from your clinical data. Combine the -omic patterns with patient clinical metrics to stratify population or develop personalized therapy options.
Work with us to seamlessly decode multi-omic patterns for every stage of drug discovery and development.
Interested in basic research? Access our world class bioinformatics analysis and inference for any multi-omic and clinical data.Â
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Utilize our basic research oriented, customized, and iterative Bioinformatics as an automated Service (BaaS) that process, homogenize, and finds hidden explanations in your multi-omic data. Readily convert data into shareable knowledge (research articles, grant applications) or tangible outcomes (databases, pipelines).
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In practical terms, Bainom Platform functions as a GPS for drug discovery and development – it guides the user through the complex and constantly developing landscape of multi-omic data – starting from extraction of clinical or biological features – arriving at actionable inferences and suggestions.
Bainom is an early-stage biotech developing the next generation of artificial intelligence (AI) and machine learning (ML) driven bioinformatics platform that makes actionable multi-omic data and its inference accessible to all, with critical applications in drug discovery, precision health, and biomedical research.
Our systems biology-oriented platform, based on the inter-disciplinary expertise of the core team creates a one-stop bioinformatics ecosystem. We achieve this by combining the largest collection of cloud-based AI/ML bioinformatic workflows, unique multi-omic data silos of clinically actionable features, deep mining of all available -omics dataspace, and dynamic, multi-layered visualization of inferred patterns.
In parallel, by exploiting our interdisciplinary computational/experimental biology experience and analytics platform, we identify and validate hitherto unknown biomarkers and druggable targets for difficult-to-treat and rare diseases.
Our mission is to transform therapeutics of difficult-to-treat diseases and accelerate discovery of new treatments through AI/ML driven solutions that unleash the full clinical potential of multi-omic data.
CONTACT
General: info@bainom.com | Business: business@bainom.com
Founder: Deepak Sharma – deepak.sharma@bainom.com | +1 216-319-1124
Operations: Justin Padilla – justin.padilla@bainom.com
Copyright @ 2023 Bainom