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EncrypGen

The EncrypGen Gene-Chain is a blockchain to mediate the searching, storing, sharing, buying and selling of genomic data.

EncrypGen White Paper Whitepaper

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Interest lvl
Medium
Learn more about our rating
User Rating
Highest
5/5 2 votes
Ticker
DNA
Token standard
ERC20
FoundedUnited States
Registration countryUnited States
Registration year2017
Office address16192 Coastal Highway

What is EncrypGen

Genomic data is complex and sensitive. If the Blockchain technology were applied in the field of genomics, a specialized solution needs to be designed. The EncrypGen, Inc.'s Gene-Chain application has been developed precisely for this purpose. EncrypGen provides next generation software for genomic data, which empowers patients and data donors and creates a safe environment to facilitate health, business and science. The Gene-Chain solution brings with it the beneficial features of Blockchain such as:

  • The genomic database is distributed,
  • Sharing is peer-to-peer,
  • The network is virtually unhackable,
  • A permanent and immutable record of transactions is created, and
  • Transactions are searchable.

In the field of genomics, EncrypGen’s Gene-Chain is revolutionary. The application is tailored to the nuances of genomic data and designed to be a central repository for genomic data that severely outperforms its Cloud-based counterparts. Furthermore, the application offers unique benefits on top of what is afforded to the Blockchain technology:

Safe and searchable - Patients and data donors are welcome to deposit their genomic data to the Gene-Chain for free. By doing so, donors are assured that their information is permanently stored in a safe and secure manner. Researchers and clinicians can then access genomic data with the explicit permission of the data owner and with the use of time-expirable keys.

Ethical - Companies, research centers and universities may purchase licenses to store data in the Gene-Chain to comply with local laws relating to consent and privacy.

Empowering to donors - The Gene-Chain enables real time and permanent tracking of transactions, placing the control and capacity to give consent in the hands of the true data owner.

Secure and private - Aside from the unhackable encryption mechanism of Blockchain, the Gene-Chain also adopts rotating reference genomes, time limited keys, compression algorithms aided by deep learning software as well as other sophisticated security measures.

Platform-agnostic - One of the main challenges with a centralized database for genomic data is the need to standardize the format of the information added onto the database. The Gene-Chain, however, is agnostic to the original formats of the data and the sequencing platform. The data can be stored and browsed in its original form. The GeneChain is designed to only store, share and secure it.

EncrypGen Roadmap

1
May 2017

Successful blockchain demo at Bio-IT Boston

2
July 2017
  • Finalize contract for purchase of nodes; discussions currently ongoing with several interested prospective buyers.
  • Conclude Token Sale
  • Distribute wallets with DNA tokens
3
August 2017
  • DNA Tokens listed on crypto exchanges
  • Expand sales and PR team to aide in deployments Expand developer team
  • Complete UI for Gene-Chain front-end by end of month
4
2018
  • Launch social media portal and upload page for individual genomic data as a free service
  • Integrate geo-locally appropriate consent procedures for study participation.

Token Sale Dates

ICO

Start date: Jun 01, 2017
End date: Jul 18, 2017

Token Allocation

Total Token Supply 70,938,091.4728319943 DNA

Funding Details

Funds Raised (as of now) 1,000,000 USD

Token Price and Payment Options

Token price USD 1 DNA = 0.01 USD

Project team

David Koepsell
David Koepsell
CEO & Founder
David Koepsell linkedin-team
Vanessa Gonzalez Covarrubias
Vanessa Gonzalez Covarrubias
Co-Founder/ Genomic Science Advisor
Vanessa Gonzalez Covarrubias linkedin-team
Maurizio Viviani
Maurizio Viviani
Lead Developer
Maurizio Viviani linkedin-team

Advisors

Barry Smith
Barry Smith
Advisor: Gene-ontology and data objects
Barry Smith linkedin-team
Amnon H. Eden
Amnon H. Eden
Advisor: Computer Scientist
Amnon H. Eden linkedin-team
Nick Lynch
Nick Lynch
Advisor: Informatics and pharmaceutics
Nick Lynch linkedin-team
Richard E. Shute
Richard E. Shute
Advisor: Medicinal Chemist, Informatician
Richard E. Shute linkedin-team

Social media

MVP

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