Cargando…
K-mer clustering algorithm using a MapReduce framework: application to the parallelization of the Inchworm module of Trinity
BACKGROUND: De novo transcriptome assembly is an important technique for understanding gene expression in non-model organisms. Many de novo assemblers using the de Bruijn graph of a set of the RNA sequences rely on in-memory representation of this graph. However, current methods analyse the complete...
Autores principales: | Kim, Chang Sik, Winn, Martyn D., Sachdeva, Vipin, Jordan, Kirk E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5670514/ https://www.ncbi.nlm.nih.gov/pubmed/29100493 http://dx.doi.org/10.1186/s12859-017-1881-8 |
Ejemplares similares
-
A technique for parallel query optimization using MapReduce framework and a semantic-based clustering method
por: Azhir, Elham, et al.
Publicado: (2021) -
MapReduce-Based Parallel Genetic Algorithm for CpG-Site Selection in Age Prediction
por: Momeni, Zahra, et al.
Publicado: (2019) -
Long Read Alignment with Parallel MapReduce Cloud Platform
por: Al-Absi, Ahmed Abdulhakim, et al.
Publicado: (2015) -
Optimizing Hadoop for MapReduce: learn how to configure your Hadoop cluster to run optimal MapReduce jobs
por: Tannir, Khaled
Publicado: (2014) -
Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model
por: Liu, Yang, et al.
Publicado: (2016)