Cargando…
FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy
BACKGROUND: Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for genomic data storage and processing, with MapRed...
Autores principales: | Ferraro Petrillo, Umberto, Palini, Francesco, Cattaneo, Giuseppe, Giancarlo, Raffaele |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986029/ https://www.ncbi.nlm.nih.gov/pubmed/33752596 http://dx.doi.org/10.1186/s12859-021-04063-1 |
Ejemplares similares
-
Correction to: FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy
por: Ferraro Petrillo, Umberto, et al.
Publicado: (2022) -
Optimizing Hadoop for MapReduce: learn how to configure your Hadoop cluster to run optimal MapReduce jobs
por: Tannir, Khaled
Publicado: (2014) -
Hadoop MapReduce v2 cookbook
por: Gunarathne, Thilina
Publicado: (2015) -
Apache Hadoop YARN: moving beyond MapReduce and batch processing with Apache Hadoop 2
por: Murthy, Arun
Publicado: (2014) -
Big data with Hadoop MapReduce: a classroom approach
por: Jeyaraj, Rathinaraja, et al.
Publicado: (2020)