Add to ORKGAbstract. Bioinformatics problems involve complex operations on lengthy DNA and protein sequences. This paper discusses the parallelization of the Progressive Multiple Sequence Alignment (PMSA) bioinformatics problem that has semi-regular computational pattern. Grid-enabled PMSA is implemented using our Java-based ALiCE grid computing system. We compare our PMSA with CLUSTALW, a commonly used commercial PMSA package. Performance scalability study to demonstrate how performance scales with problem size and computational power is carried out on homogeneous and heterogeneous cluster grids.
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
The challenge of comparing two or more genomes that have undergone recombination and substantial amo...
A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is...
The genome sequence alignment problems are very important ones from the computational biology perspe...
In silico biological sequence processing is a key task in molecular biology. This scientific area re...
Abstract Background One of the most fundamental and challenging tasks in bio-informatics is to ident...
The project focuses on performance investigation and improvement of multiple biological sequence ali...
Multiple sequence alignment is by far the most common task in computational biology. At the same tim...
Abstract Background Multiple sequence alignment (MSA) is a fundamental analysis method used in bioin...
Sequence alignment is a fundamental instrument in Bioinformatics. In recent years, numerous proposal...
In Bioinformatics, a key issue in sequence analysis is the determination of similarity between biolo...
Motivation: Grid computing is used to solve large-scale bioinformatics problem with gigabytes databa...
Ultrascale computing and bioinformatics are two rapidly growing fields with a big impact right now a...
Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This tech...
Multiple sequence alignment is a central topic of extensive research in computational biology. Basic...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
The challenge of comparing two or more genomes that have undergone recombination and substantial amo...
A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is...
The genome sequence alignment problems are very important ones from the computational biology perspe...
In silico biological sequence processing is a key task in molecular biology. This scientific area re...
Abstract Background One of the most fundamental and challenging tasks in bio-informatics is to ident...
The project focuses on performance investigation and improvement of multiple biological sequence ali...
Multiple sequence alignment is by far the most common task in computational biology. At the same tim...
Abstract Background Multiple sequence alignment (MSA) is a fundamental analysis method used in bioin...
Sequence alignment is a fundamental instrument in Bioinformatics. In recent years, numerous proposal...
In Bioinformatics, a key issue in sequence analysis is the determination of similarity between biolo...
Motivation: Grid computing is used to solve large-scale bioinformatics problem with gigabytes databa...
Ultrascale computing and bioinformatics are two rapidly growing fields with a big impact right now a...
Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This tech...
Multiple sequence alignment is a central topic of extensive research in computational biology. Basic...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
The challenge of comparing two or more genomes that have undergone recombination and substantial amo...
A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is...