Since 2012, the Raspberry Pi Foundation has started developing pocket-sized and low-cost devices, originally meant to teach computer science in developing Countries. Its growing interest and constant improvement led Raspberry Pi devices to find different applications and to suit the needs of various research areas. In the previous years, different researchers already reported applications of Raspberry Pi devices in bioinformatics, such as basic train- ing and proteomics. In the beginning of 2021, we gave birth to BioVRPi, a project which aims to develop and offer a low-cost and stable bioinformatic environment for students and re- searchers involved in the genomics and transcriptomics fields. We evaluated performances and software compatibilities of different scenarios, focusing on Genome-Wide Association Studies for complex traits in Homo sapiens, transcriptomic analyses on RNA-seq data from Strongyloides stercoralis samples and alignment of small organisms, such as SARS-CoV-2 (virus), Escherichia Coli (bacterium) and Caenorhabditis elegans (nematode). Results from both the bioinformatic and benchmarking analyses showed that Raspberry Pi devices are capable of accomplishing different bioinformatic tasks in terms of results and performances. Moreover, they proved to be a valuable low-cost and sustainable alternative, in accordance with the United Nation 2030 Agenda, to answer the needs and the challenges of the current socio-economic situation.

The BioVRPi project: a valuable and sustainable alternative for genomic analysis

Treccani Mirko
;
Veschetti Laura;Malerba Giovanni
2022-01-01

Abstract

Since 2012, the Raspberry Pi Foundation has started developing pocket-sized and low-cost devices, originally meant to teach computer science in developing Countries. Its growing interest and constant improvement led Raspberry Pi devices to find different applications and to suit the needs of various research areas. In the previous years, different researchers already reported applications of Raspberry Pi devices in bioinformatics, such as basic train- ing and proteomics. In the beginning of 2021, we gave birth to BioVRPi, a project which aims to develop and offer a low-cost and stable bioinformatic environment for students and re- searchers involved in the genomics and transcriptomics fields. We evaluated performances and software compatibilities of different scenarios, focusing on Genome-Wide Association Studies for complex traits in Homo sapiens, transcriptomic analyses on RNA-seq data from Strongyloides stercoralis samples and alignment of small organisms, such as SARS-CoV-2 (virus), Escherichia Coli (bacterium) and Caenorhabditis elegans (nematode). Results from both the bioinformatic and benchmarking analyses showed that Raspberry Pi devices are capable of accomplishing different bioinformatic tasks in terms of results and performances. Moreover, they proved to be a valuable low-cost and sustainable alternative, in accordance with the United Nation 2030 Agenda, to answer the needs and the challenges of the current socio-economic situation.
2022
Genomics, BioVRPi, Raspberry Pi, Sustainability, Transcriptomics, Bioinformatics
File in questo prodotto:
File Dimensione Formato  
20220918_ESCS2022_TreccaniMEtAl_BioVRPi_Poster.pdf

accesso aperto

Descrizione: Poster
Tipologia: Altro materiale allegato
Licenza: Dominio pubblico
Dimensione 1.1 MB
Formato Adobe PDF
1.1 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1074487
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact