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Parallel definition of tear film maps on distributed-memory clusters for the support of dry eye diagnosis
(Elsevier Ireland Ltd., 2017)
[Abstract] Background and objectives
The analysis of the interference patterns on the tear film lipid layer is a useful clinical test to diagnose dry eye syndrome. This task can be automated with a high degree of accuracy ...
A 2D algorithm with asymmetric workload for the UPC conjugate gradient method
(Springer New York LLC, 2014)
[Abstract] This paper examines four different strategies, each one with its own data distribution, for implementing the parallel conjugate gradient (CG) method and how they impact communication and overall performance. ...
HSRA: Hadoop-based spliced read aligner for RNA sequencing data
(Public Library of Science, 2018-07-31)
[Abstract] Nowadays, the analysis of transcriptome sequencing (RNA-seq) data has become the standard method for quantifying the levels of gene expression. In RNA-seq experiments, the mapping of short reads to a reference ...
GPU-accelerated exhaustive search for third-order epistatic interactions in case–control studies
(Elsevier Ltd, 2015)
[Abstract] Interest in discovering combinations of genetic markers from case–control studies, such as Genome Wide Association Studies (GWAS), that are strongly associated to diseases has increased in recent years. Detecting ...
Parallel and Scalable Short-Read Alignment on Multi-Core Clusters Using UPC++
(Johannes Gutenberg University Mainz, 2016)
[Abstract]: The growth of next-generation sequencing (NGS) datasets poses a challenge to the alignment of reads to reference genomes in terms of alignment quality and execution speed. Some available aligners have been shown ...
MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems
(Oxford University Press, 2016)
[Abstracts] MSAProbs is a state-of-the-art protein multiple sequence alignment tool based on hidden Markov models. It can achieve high alignment accuracy at the expense of relatively long runtimes for large-scale input ...
Parallel-FST: A feature selection library for multicore clusters
(Elsevier, 2022-11)
[Abstract]: Feature selection is a subfield of machine learning focused on reducing the dimensionality of datasets by performing a computationally intensive process. This work presents Parallel-FST, a publicly available ...
PATO: genome-wide prediction of lncRNA-DNA triple helices
(Oxford University Press, 2023-03)
[Abstract]: Motivation: Long non-coding RNA (lncRNA) plays a key role in many biological processes. For instance, lncRNA regulates chromatin using different molecular mechanisms, including direct RNA-DNA hybridization via ...
Fast search of third-order epistatic interactions on CPU and GPU clusters
(Sage Publications Ltd., 2019-05-27)
[Abstract]
Genome-Wide Association Studies (GWASs), analyses that try to find a link between a given phenotype (such as a disease) and genetic markers, have been growing in popularity in the recent years. Relations between ...
Accelerating binary biclustering on platforms with CUDA-enabled GPUs
(Elsevier Ltd, 2018)
[Abstract]: Data mining is nowadays essential in many scientific fields to extract valuable information from large input datasets and transform it into an understandable structure. For instance, biclustering techniques are ...