Summary: Multiple sequence alignment is an important tool in bioin-formatics. Although efficient heuristic algorithms exist for this prob-lem, the exponential growth of biological data demands an even higher throughput. The recent emergence of multi-core technologies has made it possible to achieve a highly improved execution time for many bioinformatics applications. In this paper, we introduce an implementation that accelerates the distance matrix computation on x86 and Cell Broadband Engine (BE), a homogeneous and hetero-geneous multi-core system, respectively. By taking advantage of multiple processors as well as SIMD vectorization, we are able to achieve speedups of two orders of magnitude compared to the pub-licly available implementa...
In this dissertation, we address the challenges of performance scaling for bioinformatics applicatio...
Abstract: Efficient sequence alignment is one of the most important and challenging activities in bi...
With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is...
Distance matrix has diverse usage in different research areas. Its computation is typically an essen...
The Cell Broadband Engine (BE) Architecture is a new heterogeneous multi-core architecture targeted ...
The Cell Broadband Engine (BE) Architecture is a new heterogeneous multi-core architecture targeted ...
Copyright © 2014 MohammedW. Al-Neama et al. This is an open access article distributed under the Cre...
The fast growth of bioinformatics field has attracted the attention of computer scientists in the la...
The Cell Broadband Engine (BE) Architecture is a new heterogeneous multi-core architecture targeted ...
The Cell Broadband Engine Architecture is a new heterogeneous multi-core architecture targeted at co...
Abstract Background We present swps3, a vectorized implementation of the Smith-Waterman local alignm...
We have designed a special hardware board to calculate optimal alignments of two sequences based on ...
Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This tech...
Approximate string matching is a very important problem in computational biology; it requires the fa...
The exponential growth of databases that contains biological information (such as protein and DNA da...
In this dissertation, we address the challenges of performance scaling for bioinformatics applicatio...
Abstract: Efficient sequence alignment is one of the most important and challenging activities in bi...
With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is...
Distance matrix has diverse usage in different research areas. Its computation is typically an essen...
The Cell Broadband Engine (BE) Architecture is a new heterogeneous multi-core architecture targeted ...
The Cell Broadband Engine (BE) Architecture is a new heterogeneous multi-core architecture targeted ...
Copyright © 2014 MohammedW. Al-Neama et al. This is an open access article distributed under the Cre...
The fast growth of bioinformatics field has attracted the attention of computer scientists in the la...
The Cell Broadband Engine (BE) Architecture is a new heterogeneous multi-core architecture targeted ...
The Cell Broadband Engine Architecture is a new heterogeneous multi-core architecture targeted at co...
Abstract Background We present swps3, a vectorized implementation of the Smith-Waterman local alignm...
We have designed a special hardware board to calculate optimal alignments of two sequences based on ...
Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This tech...
Approximate string matching is a very important problem in computational biology; it requires the fa...
The exponential growth of databases that contains biological information (such as protein and DNA da...
In this dissertation, we address the challenges of performance scaling for bioinformatics applicatio...
Abstract: Efficient sequence alignment is one of the most important and challenging activities in bi...
With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is...