Add to ORKGEven though there are many useful tools for sequence alignment such as Blast by NCBI, Fasta by the University of Virginia and Smith-Waterman, by NIST, one of the key issues is that sequence databases are exploding in size, growing at an exponential rate. Grid and parallel computing are crucial techniques to maintain and improve the effectiveness of sequence comparison tools, whereas the Web Services approach may guarantee the interoperability among large collections of programs and data. This work describes BioGAT (Bioinformatics Grid Alignment Tools), a toolkit that offers optimized brokering and a data management system to exploit various bioinformatics alignment tools wrapped as Web Services in a Grid architecture
The emerging field of bioinformatics uses computing as a tool to understand biology. Biological data...
Molecular biology and computer science are complex fields whose terminology and nomenclature can be ...
Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, ...
In Bioinformatics, a key issue in sequence analysis is the determination of similarity between biolo...
In spite of the existence of several Grid middleware projects, developing and executing programs on ...
Abstract Background Bioinformatics is confronted with a new data explosion due to the availability o...
[[abstract]]This thesis is to design the software, which can align the sequence of Express Sequence ...
Biological sequence alignment is an important and challenging task in bioinformatics. Alignment may ...
Motivation: Grid computing is used to solve large-scale bioinformatics problem with gigabytes databa...
Multiple sequence alignment is by far the most common task in computational biology. At the same tim...
Abstract-The merging of biology and computer science has created a new field called computational bi...
Abstract: The emerging field of bioinformatics uses computing as a tool to understand biology. Biolo...
In bioinformatics, genomic sequence alignment is a simple method for handling and analysing data, an...
<div><p></p><p>Due to the size of Next-Generation Sequencing data, the computational challenge of se...
DNA sequencing is the deciphering of hereditary information. It is an indispensable prerequisite for...
The emerging field of bioinformatics uses computing as a tool to understand biology. Biological data...
Molecular biology and computer science are complex fields whose terminology and nomenclature can be ...
Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, ...
In Bioinformatics, a key issue in sequence analysis is the determination of similarity between biolo...
In spite of the existence of several Grid middleware projects, developing and executing programs on ...
Abstract Background Bioinformatics is confronted with a new data explosion due to the availability o...
[[abstract]]This thesis is to design the software, which can align the sequence of Express Sequence ...
Biological sequence alignment is an important and challenging task in bioinformatics. Alignment may ...
Motivation: Grid computing is used to solve large-scale bioinformatics problem with gigabytes databa...
Multiple sequence alignment is by far the most common task in computational biology. At the same tim...
Abstract-The merging of biology and computer science has created a new field called computational bi...
Abstract: The emerging field of bioinformatics uses computing as a tool to understand biology. Biolo...
In bioinformatics, genomic sequence alignment is a simple method for handling and analysing data, an...
<div><p></p><p>Due to the size of Next-Generation Sequencing data, the computational challenge of se...
DNA sequencing is the deciphering of hereditary information. It is an indispensable prerequisite for...
The emerging field of bioinformatics uses computing as a tool to understand biology. Biological data...
Molecular biology and computer science are complex fields whose terminology and nomenclature can be ...
Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, ...