Efficient Storage of Genomic Sequences in High Performance Computing Systems

ABSTRACT: In this dissertation, we address the challenges of genomic data storage in high performance computing systems. In particular, we focus on developing a referential compression approach for Next Generation Sequence data stored in FASTQ format files. The amount of genomic data available for r...

Full description

Autores:

Guerra Soler, Aníbal José

Tipo de recurso:

Doctoral thesis

Fecha de publicación:

2019

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

spa

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/12525

Acceso en línea:

http://hdl.handle.net/10495/12525

Palabra clave:

Performance - evaluation
Genomic sequences
Parallel computing
Reads alignment
Reads compression
Referential compression
SIMD programming
http://id.loc.gov/authorities/subjects/sh2010105499

Rights

openAccess

License

Atribución-NoComercial-SinDerivadas 2.5 Colombia (CC BY-NC-ND 2.5 CO)