The post-genomic era is characterized by large amount of data available from sequencing projects. The large size of biological datasets, inherent complexity of biological problems and the ability to deal with error-prone data all result in large runtime and memory requirements. Using parallel computing to solve computational genomics problems efficiently is therefore widely used approach.DOCTOR OF PHILOSOPHY (SCE
The impending advent of population-scaled sequencing cohorts involving tens of millions of individua...
Certain bioinformatics research, such as sequence alignment, alternative splicing, protein function/...
International audienceThis paper presents a joint effort between a group of computer scientists and ...
The post-genomic era is characterized by large amount of data available from sequencing projects. Th...
Abstract. The potential for Grid technologies in applied bioinformatics is largely unexplored. We ha...
Kary Ocaña,1 Daniel de Oliveira2 1National Laboratory of Scientific Computing, Petrópo...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...
A revolution in personalized genomics will occur when scientists can sequence genomes of millions of...
The continuing revolution in DNA sequencing and biological sensor technologies is driving a digital ...
International audienceBiotechnology progresses lead to an exponential growth of genomic data. This m...
Recent advances in DNA sequencing technology have opened new doors for scientists to use genomic dat...
Bioinformatics and computational biology are driven by growing volumes of data in biological systems...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
Genomic datasets are growing dramatically as the cost of sequencing continues to decline and small s...
The pace of extraordinary advances in molecular biology has accelerated in the past decade due in la...
The impending advent of population-scaled sequencing cohorts involving tens of millions of individua...
Certain bioinformatics research, such as sequence alignment, alternative splicing, protein function/...
International audienceThis paper presents a joint effort between a group of computer scientists and ...
The post-genomic era is characterized by large amount of data available from sequencing projects. Th...
Abstract. The potential for Grid technologies in applied bioinformatics is largely unexplored. We ha...
Kary Ocaña,1 Daniel de Oliveira2 1National Laboratory of Scientific Computing, Petrópo...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...
A revolution in personalized genomics will occur when scientists can sequence genomes of millions of...
The continuing revolution in DNA sequencing and biological sensor technologies is driving a digital ...
International audienceBiotechnology progresses lead to an exponential growth of genomic data. This m...
Recent advances in DNA sequencing technology have opened new doors for scientists to use genomic dat...
Bioinformatics and computational biology are driven by growing volumes of data in biological systems...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
Genomic datasets are growing dramatically as the cost of sequencing continues to decline and small s...
The pace of extraordinary advances in molecular biology has accelerated in the past decade due in la...
The impending advent of population-scaled sequencing cohorts involving tens of millions of individua...
Certain bioinformatics research, such as sequence alignment, alternative splicing, protein function/...
International audienceThis paper presents a joint effort between a group of computer scientists and ...
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