In many cases, an alternative test is judged to be relevant if it produces information and data that are equivalent to or better than the information or data produced by a currently used in vivo test.
Bioinformatics focus on the developments of mathematical and computational tools to extract useful information from data produced by high-throughput biological techniques such as genome sequencing, protein sequences, gene regulation, gene networks, ChIP-on-chip and DNA microarrays data as well as mass spectrometry and MRI.
A common thread relative to bioinformatics and computational biology research is the use of mathematical tools to extract useful information from noisy data produced by high-throughput biological techniques.
Without specific policies and interventions aimed at improving the use of data produced by information systems; health systems will never fully be able to meet the needs of the populations they serve.
Without specific interventions aimed at improving the use of data produced by information systems, health systems will never fully be able to meet the needs of the populations they serve.
Despite the significant amount of data produced by genome sequencing, information on its open read frame (ORF) cluster (OC) organization, transcriptional unit (TU) formation and transcriptional regulation is very limited.
In each site, the research team carried out a documentary analysis (data produced by the health information service and service notes), three months of on-site observation, and formal and informal interviews with healthcare workers and patients.
Currently the MPD defines and supports information from the following types of data produced by the PRCs: Mass Spectrometry, Microarray, Clones, Protein Interaction, and Protein Structure.
In 1948, Shannon used probability theory to model the information sources, i.e., the data produced by a source is treated as a random variable.
The present challenge lies in extracting all biologically meaningful information from the vast amounts of data produced by NGS in a time- and resource-efficient manner.
