Sentence examples for biological data from large from inspiring English sources
In particular, during coastal and oceanic longline projects, collecting accurate biological data from large animals is often problematic due to associated landing and handling difficulties.
To improve the accuracy of biological data collected from large specimens and decrease survey-induced stress and mortalities during longline surveys, a portable landing sling was designed for use with shipboard hydraulic cranes.
Extracting relevant biological information from large data sets is a major challenge in functional genomics research.
However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process.
A biorepository acts as a library of biological and associated data from large numbers of individuals, either from the general population or from specific groups of individuals with a condition of interest.
Data from large, observational studies must be complemented by smaller biological studies and randomised controlled trials in an effort to complete missing pieces in the biological puzzle of the use of statins in patients with pneumonia.
The future direction envisions that large studies will be accompanied by, biological-, and molecular- information and corresponding material from large numbers of patients and healthy persons, where the protein data from large biobank archives will play a mandatory role.
Data from large-scale biological inventories are essential for understanding and managing Earth's ecosystems.
The establishment of a biorepository of data and biological samples from large numbers of overweight and obese children, alongside longitudinal data collection relating to co-morbidities, offers a unique opportunity to examine the complex G×E interactions that likely govern long-term disease risk in children and adolescents.
Systems biology is an emerging scientific field that integrates large sets of biological data derived from experimental and computational approaches.
