This document summarizes a flexible analytical platform for precision clinical research, pharmaceutical R&D, and education. It describes the large and growing omics data analysis market and the need to extract biological meaning from big biomedical data. The platform uses machine learning, biological pathway analysis, visualization, and other techniques to analyze genomics, proteomics, transcriptomics, metabolomics, and other omics data types. It provides basic processing, predictive modeling, and decision support to help with clinical trials, molecular diagnostics, and more. The business model involves remote cloud access, full-service projects, reporting, customization, and educational programs. Testimonials highlight how the platform has helped diverse research teams.

1. Flexible and Comprehensive Analytical Platform for Precision
Clinical Research, Pharma R&D and Education

2. Opportunity: Omics Data Analysis Market Segmentation
Source: Bioinformatics Market by Sector – Global Forecast to 2020
1Market
4.3
5.1
6.2
7.5
9.1
11.0
13.3
2014 2015 2016 2017 2018 2019 2020
Global bioinformatics market size, $B (forecast)
CAGR = 20.9%
0%
5%
10%
15%
20%
25%
30%
0 1 2 3 4 5 6 7
Genomics
Proteomics
Transcriptomics
Metabolomics
Microbiome
Other
Relative shares and growth of market segments, %
CAGR
Rank

3. 2Challenge

4. 3
From Big Biomedical Data to Actionable Results
Solution
Machine Learning
» Feature extraction
» Integration
» Predictive modeling
» Data mining
» Simulation
Biological Meaning
» Pathway Analysis
» Visualization
» Relation to Phenotype
» Hypothesis Building
Decision making
» Clinical trials
» Target Candidate
» Molecular Diagnostics
» Risk and Stratification
Basic Processing
» Noise filtering
» Artifacts removal
» Flexible Pipelines
» Modular Structure
» Easily Extendable

5. A flexible online tool that covers all -omics data types
4Product
Visualization
Machine Learning
Adapts to User
QSAR Integration
Hybrid Cloud
On-site HPC

6. CirSeq: Logical Framework to Study Low Frequency Mutations
Virus-Host Circuitry Quasi-Species Other Applications
CIRSEQ Virus-Host Interaction Insight
Applications 5
Advanced Solution To Study Virus Evolution and Virus-Host Circuitry

7. Go-to-market and Growth Strategy
Remote Access
Cost-plus Cloud access to the platform for
Individual researchers and small teams
Service
Full service for challenging projects and
ongoing analysis streamlining
Reporting
Expert input with quality control,
visualizations and method
recommendations
Education
Hybrid online and offline educational
projects that can be adapted to
specific use cases
Data Storage
Integration with existing repositories
Or cloud-based database
Customization
Targeted solutions to address custom
Challenges using our modular
structure
6Business model
Priyal de Zoysa
Solutions Marketing
Thermo Fisher, Genomics
England, Seven Bridges, Pfizer
Dr. Claudia Copeland
Educations and Communications
Tulane University, University of Leipzig,
USDA-ARS, University of California, San Diego
Shafin Khan
Commercialization Advisor
New Orleans BioInnovation Center, LSU
Health Sciences Center

8. Empowering Researchers through Hands-On Education
Your intuitive web-based platform is perfectly suited for the educational
setting and I am excited at the prospect of it being more widely available in
this capacity. It has been a great pleasure to work with the Pine Biotech team
thus far, and I look forward to our continued collaborations.
Pine Biotech's team has assembled an impressive array of bioinformatics
tools and resources into a unified system that enables an amazing variety of
end-to-end omics analyses. Their platform has helped our research by
enabling us to explore our RNA-seq data in new ways.
As a laboratory scientist, I can personally attest to the dire need for effective
educational tools as NGS moves from the esoteric laboratory environment
and into the clinical diagnostic setting
Dr. Christian Pfaller
Dr. Chris McGowin
Dr. Andrew Woodman
7Value

9. We believe that in the near future, personalized healthcare
will become a reality. To enable this transformation, teams
of researchers and clinicians need to use and interpret
molecular data in a flexible, efficient way…
1950 – 1979
» DNA double-helix
structure
discovered
» Genetic code
cracked
» First DNA
sequencing
technology
developed
Vision: Enable discoveries that enhance individualized treatments
1980 – 2016
» Polymerase chain
reaction first
developed
» FDA approves first
personalized
therapeutic
» Human Genome
Project completed
2017 – …
» First full patient
omics sampling
» Cost of
sequencing drops
to $50
» Most conditions
require
personalized
approach
Vision
1. Sampling
2. Data Generation
3. Analysis
4. Integration
5. Diagnostics and Stratification
Personalized
medical treatment
selection
8
Molecular Level
Precision
Diagnostics

10. Traction to date 9
Transforming data analysis for diverse research teams
Multi-million dollar project
involving UCSF, BU, CDC,
IBM and Haifa University
Identification of Metabolomics
Biomarkers in Clinical Trials for
Multiple Sclerosis
Comparative Study between
Canine and Human
Mutations in Bladder
Cancer
PHARMA COMPANY

11. Experienced Team with a Track Record
10
Advisory Board
Prof. Raul Andino
Professor of Immunology,
UCSF, Microbiology
Shafin Khan
Commercialization Advisor
Prof. Judith Frydman
Stanford University, Biology
Operations
Priyal de Zoysa, Ph.D.
Solutions Marketing
Dr. Claudia Copeland
Educations and Communications
Elia Brodsky
CEO
Board of Directors
Prof. Alfred Tauber
Professor of Medicine,
Boston University
Prof. Leonid Brodsky
Director, Tauber Bioinformatics Research
Center, University of Haifa
Elka Nir
Carmel Corporation
Ralph Leopold
Interim CFO

12. Thank you!

13. Overcoming Technical and Regulatory Challenges
The T-Bio controller assembles and encrypts the data before sending a pipeline package onto the integrated processing unit that
can distribute processes between HPC and cloud for processing the data. Depending on the user, the files can either be uploaded
directly onto the controller or assembled from a reference database using the client side data warehouse
HIPAA
Compliant
Controller
Intermediary
Data
Data Storage HPC Server
External Data Storage
Executable Files
Appendix

14. Appendix
IT-team with technical experience and skillset shared with Tauber
Bioinformatics Research Center at Haifa University
Andrey Lopatenko
Scalable Data and Security Advisor
Recruit Institute of Technology, Walmart
Labs, Apple, Google
Avi Titievsky
HPC Developer
Computer Science and
Bioinformatics Background
Mikhail Farkov
GP-GPU, HPC developer
Mathematical Modeling and
Computer Science Background
Amitha Dasari
Bioinformatics and Visualization
Bioinformatics Background
Dr. Liudmyla Vasilenco
Mathematician
Mathematical Modeling and
Algorithm Development

15. One environment for all types of biological data
Appendix
Genome read clustering
Regulation network
Association network
eQTL
Transpons
RNA Mapping Transcripts
Protein-coding expression
Non-coding expression
Transpon abundance
Genetic variants
Exome mapping
Epigenetic signals
TF binding
MS proteomics
MS metabolomics
Ligand docking
Drug specificity
Functional enrichment of modules
Library of small molecules
Screening, Clustering
CirSeq: virus mutation variants
Virus titer
Host
Pathogen
Junk DNA
RNA-seq.
RNA-editing
Exome-seq.
CHiP-seq.
Bisulfite DNA
methylation
Virology
Structural
biology
libraries of
molecules
Machine
learning
Mass-spec
RNA editing