Add to ORKGSummary: We propose SW#, a new CUDA graphical processor unit-enabled and memory-efficient implementation of dynamic pro-gramming algorithm, for local alignment. It can be used as either a stand-alone application or a library. Although there are other graphical processor unit implementations of the Smith–Waterman algorithm, SW # is the only one publicly available that can produce sequence alignments on genome-wide scale. For long sequences, it is at least a few hundred times faster than a CPU version of the same algorithm. Availability: Source code and installation instructions freely available for download a
To obtain large-scale sequence alignments in a fast and flexible way is an important step in the ana...
Genome assemblies sequenced by a Whole Genome Shotgun (WGS) project predict an organism’s fun...
BACKGROUND: With the maturation of next-generation DNA sequencing (NGS) technologies, the throughput...
Genome sequence analysis is central to today’s genomics research, and sequence alignment and Single-...
Background Searching for similarities in protein and DNA databases has become a routine procedure in...
Blom J, Jakobi T, Doppmeier D, et al. Exact and complete short-read alignment to microbial genomes u...
Sequence alignment has become a routine procedure in evolutionary biology in looking for evolutionar...
Alignment algorithms are used to find similarity between biological sequences, such as DNA and prote...
Genetic sequence alignment is an important tool for researchers. It lets them see the differences an...
Rapid evolution in sequencing technologies results in generating data on an enormous scale. A focal ...
Sequence alignment is a fundamental task for computational genomics research. We develop G-Aligner, ...
Graphics processor a b s t r a c t Finding regions of similarity between two very long data streams ...
In bioinformatics, use of global sequence alignment algorithms such as Needleman-Wunsch (NW) becomes...
Motivation To obtain large-scale sequence alignments in a fast and flexible way is an important step...
BackgroundBioinformatic workflows frequently make use of automated genome assembly and protein clust...
To obtain large-scale sequence alignments in a fast and flexible way is an important step in the ana...
Genome assemblies sequenced by a Whole Genome Shotgun (WGS) project predict an organism’s fun...
BACKGROUND: With the maturation of next-generation DNA sequencing (NGS) technologies, the throughput...
Genome sequence analysis is central to today’s genomics research, and sequence alignment and Single-...
Background Searching for similarities in protein and DNA databases has become a routine procedure in...
Blom J, Jakobi T, Doppmeier D, et al. Exact and complete short-read alignment to microbial genomes u...
Sequence alignment has become a routine procedure in evolutionary biology in looking for evolutionar...
Alignment algorithms are used to find similarity between biological sequences, such as DNA and prote...
Genetic sequence alignment is an important tool for researchers. It lets them see the differences an...
Rapid evolution in sequencing technologies results in generating data on an enormous scale. A focal ...
Sequence alignment is a fundamental task for computational genomics research. We develop G-Aligner, ...
Graphics processor a b s t r a c t Finding regions of similarity between two very long data streams ...
In bioinformatics, use of global sequence alignment algorithms such as Needleman-Wunsch (NW) becomes...
Motivation To obtain large-scale sequence alignments in a fast and flexible way is an important step...
BackgroundBioinformatic workflows frequently make use of automated genome assembly and protein clust...
To obtain large-scale sequence alignments in a fast and flexible way is an important step in the ana...
Genome assemblies sequenced by a Whole Genome Shotgun (WGS) project predict an organism’s fun...
BACKGROUND: With the maturation of next-generation DNA sequencing (NGS) technologies, the throughput...