Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

BioPIM

Financiado

Cerrado

Processing-in-memory architectures and programming libraries for bioinformatics...

Processing-in-memory architectures and programming libraries for bioinformatics algorithms Low cost, high throughput DNA and RNA sequencing (HTS) data is now the main workforce for various genomics and transcriptomics applications. HTS technologies have already started to impact a broad range of research and clinical us... ver más

30/04/2026

BILKENTUNIVERSITY...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

BILKENT UNIVERSITESI VAKIF No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-05-01

HORIZON-EIC-2021-PATHFINDEROPEN-01-01: EIC Pathfinder Open 2021 Scope:You should apply to this call if you are looking for support from EIC Pathfinder Open to reali...

I+D

Cerrada hace 3 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

Participantes

BILKENTUNIVERSITY BILIM KENT...

Lider

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

BioPIM Processing-in-memory architectures and programming libraries... 2M€ Cerrado

TED2021-132634A-I00 ARQUITECTURAS DE COMPUTADORES DE ALTAS PRESTACIONES PARA EL... 201K€ Cerrado

GEUVADIS Sharing capacity across Europe in high throughput sequencing... 2M€ Cerrado

EQC2019-005592-P Plataforma de Secuenciación de Célula Única de Alto Rendimie... 155K€ Cerrado

CSIC08-4E-101 Secuenciador masivo de ultima generacion 739K€ Cerrado

PDC2021-121243-I00 PLATAFORMA DELFOS: SISTEMA DE INFORMACION PARA LA GESTION DE... 102K€ Cerrado

Duración del proyecto: 47 meses Fecha Inicio: 2022-05-01
Fecha Fin: 2026-04-30

Líder del proyecto

BILKENT UNIVERSITESI VAKIF No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Low cost, high throughput DNA and RNA sequencing (HTS) data is now the main workforce for various genomics and transcriptomics applications. HTS technologies have already started to impact a broad range of research and clinical use for the life sciences. These include, but are not limited to 1) large-scale sequencing studies for population genomics and disease-causing mutation discovery including cancer, 2) metagenomics, 3) comparative genomics, 5) transcriptome profiling, and 6) outbreak detection and tracking including COVID-19, Ebola, and Zika. HTS also impacts the whole health care system in several directions. Although there is still much room for improvement, sequencing of personal genomes is now becoming a part of preventive and personalized medicine as HTS technologies make it possible to 1) identify genetic mutations that enable rare disease diagnosis, 2) determine cancer subtypes therefore guiding treatment options, and 3) characterize infections and antibiotic resistance. Currently all genomics data are processed in energy-hungry computer clusters and data centers, which also necessitate the transfer of data via the internet, which also consumes substantial amounts of energy and wastes valuable time. Therefore there is a need for fast, energy-efficient, and cost-efficient technologies that enable all forms of genomics research without requiring data centers and cloud platforms. In this project we aim to leverage the emerging processing-in-memory (PIM) technologies to enable such powerful edge computing. We will focus on co-designing algorithms and data structures commonly used in bioinformatics together with several types of PIM architectures to obtain the highest benefit in cost, energy, and time savings. BioPIM will also impact other fields that employ similar algorithms. Our designs and algorithms will not be limited to cheap hardware, and they will impact computation efficiency on all forms of computing environments including cloud platforms.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores