logo

Statistical multi-Omics UNDerstanding of Patient Samples

Sector: Commercial • Location: Germany, United States, Switzerland, United Kingdom, Portugal, Netherlands

Source: EU Funding & Tenders Portal

Project
Ended

Bioinformatic analysis is the biggest bottleneck in many genomic medicine projects. Our objective is to enable researchers to dramatically increase statistically informed use of personal multi-omic data in medicine. Soon, multiple types of omic technologies will be applied to 100,000s of patient-derived samples, with the three-stage goal of better understanding disease biology, discovery of new in

Project Information FAQ

Project Information

3 Q
The project “Statistical multi-Omics UNDerstanding of Patient Samples” is an infrastructure initiative in the Commercial sector, located in Germany, United States, Switzerland, United Kingdom, Portugal, Netherlands. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

Bioinformatic analysis is the biggest bottleneck in many genomic medicine projects. Our objective is to enable researchers to dramatically increase statistically informed use of personal multi-omic data in medicine. Soon, multiple types of omic technologies will be applied to 100,000s of patient-derived samples, with the three-stage goal of better understanding disease biology, discovery of new interventions, and personalizing the choice of treatment options. Our interdisciplinary team of biostatisticians, bioinformaticians, software developers and physician-scientists will address the analysis bottleneck with statistically and computationally sound methods. The SOUND consortium will (i) develop widely used and excellent bioinformatic and statistical methods and open source software for common but challenging tasks, including data pre-processing, data integration, statistical inference, visual presentation, and publication-quality reporting; (ii) introduce novel approaches to ground breaking multi-omics applications in oncology and medical genetics; (iii) develop interoperable data structures and software interfaces that enable seamless combination of tools; (iv) support a collaborative international academic and industry developer community; (v) enable rapid development and execution of high-quality software; (vi) lower the barrier to entry into this transdisciplinary field by providing simple, robust, easy-to-use solutions; and (vii) develop a training programme with regular courses and comprehensive online tutorials. Our aim is to create the de facto standard toolkit used in every clinical research lab for statistically informed analysis of personal multi-omic data. SOUND will increase research and innovation opportunities by reducing barriers of entry to genomic medicine across academic, healthcare and commercial sectors by translating in a rapid and efficient manner complex and innovative analytical approaches into modular, interoperable, reusable applications.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data