Background Genome projects usually start with a sequencing phase, where experimental data, usually DNA sequences, is generated, without any biological interpretation. The fundamental challenge researchers face lies exactly in analyzing these sequences to derive information that is biologically relevant. During the analysis phase, researchers use a variety of analysis programs typically combined, in the sense that the data collection one program produces is used as input to another program. This is best modelled as a workflow whose steps are the analysis programs. Results This paper addresses the use of workflows to compose Bioinformatics analysis programs that access data sources, thereby facilitating the analysis phase. An ontology modelli...
The structure of a closely integrated data warehouse is described that is designed to link different...
Bioinformatics is a research field in which computer scientists, biologists, physicians, mathematici...
<div><p>Although there is great promise in the benefits to be obtained by analyzing cancer genomes, ...
Next-generation sequencing techniques made possible enormous steps in the sequencing of genomic mate...
Background: With the advancements of Next Generation Techniques, a tremendous amount of genomic info...
Genomics projects produce huge amounts of data of different kinds whose interpretation stimulated th...
The proliferation of bioinformatics activities brings new challenges - how to understand and organis...
The last 20 years has seen the birth of bioinformatics, and is defined as the combination of mathema...
Abstract Bioinformatics is conceptualizing biology in terms of macromolecules (in the sense of physi...
The past twenty years have witnessed an explosion of biological data in diverse database formats gov...
The main objective of the reported study was to investigate how biomedical ontologies, logically str...
The advent of next-generation sequencing technologies is transforming biology by enabling individual...
Much of biology works by applying prior knowledge (`what is known') to an unknown entity, rathe...
This paper reflects on the analytic challenges emerging from the study of bioinformatic tools recent...
In this chapter, we discuss the analysis of biomedical, DNA, and protein data. A detailed discussion...
The structure of a closely integrated data warehouse is described that is designed to link different...
Bioinformatics is a research field in which computer scientists, biologists, physicians, mathematici...
<div><p>Although there is great promise in the benefits to be obtained by analyzing cancer genomes, ...
Next-generation sequencing techniques made possible enormous steps in the sequencing of genomic mate...
Background: With the advancements of Next Generation Techniques, a tremendous amount of genomic info...
Genomics projects produce huge amounts of data of different kinds whose interpretation stimulated th...
The proliferation of bioinformatics activities brings new challenges - how to understand and organis...
The last 20 years has seen the birth of bioinformatics, and is defined as the combination of mathema...
Abstract Bioinformatics is conceptualizing biology in terms of macromolecules (in the sense of physi...
The past twenty years have witnessed an explosion of biological data in diverse database formats gov...
The main objective of the reported study was to investigate how biomedical ontologies, logically str...
The advent of next-generation sequencing technologies is transforming biology by enabling individual...
Much of biology works by applying prior knowledge (`what is known') to an unknown entity, rathe...
This paper reflects on the analytic challenges emerging from the study of bioinformatic tools recent...
In this chapter, we discuss the analysis of biomedical, DNA, and protein data. A detailed discussion...
The structure of a closely integrated data warehouse is described that is designed to link different...
Bioinformatics is a research field in which computer scientists, biologists, physicians, mathematici...
<div><p>Although there is great promise in the benefits to be obtained by analyzing cancer genomes, ...