Add to ORKGA poster discussing the use of parallel processing techniques (Hadoop, mapreduce, ect.) in processing genome data
Recent advances in DNA sequencing technology have dramatically increased the scale and scope of DNA ...
Motivation: High performance computing (HPC) clusters play a pivotal role in large-scale bioinformat...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...
Kary Ocaña,1 Daniel de Oliveira2 1National Laboratory of Scientific Computing, Petrópo...
A revolution in personalized genomics will occur when scientists can sequence genomes of millions of...
Unexpected growth of high-throughput sequencing platforms in recent years impacted virtually all ar...
The project described in this dissertation proposal attempted to improve the efficiency and scalabil...
The continuing revolution in DNA sequencing and biological sensor technologies is driving a digital ...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
Bioinformatics and computational biology are driven by growing volumes of data in biological systems...
A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is...
The post-genomic era is characterized by large amount of data available from sequencing projects. Th...
Background: New high-throughput technologies, such as massively parallel sequencing, have transforme...
Abstract—With the availability of high-throughput and low-cost sequencing technologies, an increasin...
A Genome Wide Association Study (GWAS) is an important bioinformatics method to associate variants w...
Recent advances in DNA sequencing technology have dramatically increased the scale and scope of DNA ...
Motivation: High performance computing (HPC) clusters play a pivotal role in large-scale bioinformat...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...
Kary Ocaña,1 Daniel de Oliveira2 1National Laboratory of Scientific Computing, Petrópo...
A revolution in personalized genomics will occur when scientists can sequence genomes of millions of...
Unexpected growth of high-throughput sequencing platforms in recent years impacted virtually all ar...
The project described in this dissertation proposal attempted to improve the efficiency and scalabil...
The continuing revolution in DNA sequencing and biological sensor technologies is driving a digital ...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
Bioinformatics and computational biology are driven by growing volumes of data in biological systems...
A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is...
The post-genomic era is characterized by large amount of data available from sequencing projects. Th...
Background: New high-throughput technologies, such as massively parallel sequencing, have transforme...
Abstract—With the availability of high-throughput and low-cost sequencing technologies, an increasin...
A Genome Wide Association Study (GWAS) is an important bioinformatics method to associate variants w...
Recent advances in DNA sequencing technology have dramatically increased the scale and scope of DNA ...
Motivation: High performance computing (HPC) clusters play a pivotal role in large-scale bioinformat...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...