Sentence examples for biological data and understanding from inspiring English sources

Further research should focus on modelling and mapping the permanence of pelagic habitats and different spatio-temporal scales of variability, validating habitat boundaries with biological data, and understanding the threats and efficacy of achieving pelagic protection through management mechanisms like MPAs.

In addition, students expressed their understanding of the relevance of statistics as a tool to analyze biological data and understand its significance.

The Genome Comparison Project (GCP) (http://www.dbbm.fiocruz.br/GenomeComparison) aims to compare protein information on a genomic scale to improve the quality and interpretation of biological data and our understanding of biological systems and their interactions.

Gathering body composition and biological data will enhance our understanding of how weight loss, even if minor amounts, may impact breast cancer recurrence risk and overall health risk among African-American women.

This chapter emphasizes the importance of development of appropriate computational approaches to working with biological data to provide an understanding and characterization of those data.

To address the concern that ICB's emphasis on interpreting original biological data to develop conceptual understanding (i.e., the scientific process) resulted in students learning less factual content compared with their peers using a traditional textbook, we asked both student populations a series of multiple-choice questions characteristic of a traditional introductory biology exam.

Bioinformatics uses statistics and computer science to process heterogeneous biological data, which provides opportunities for understanding disease genetics, biological processes and identifying therapeutic targets [ 1].

Future research on miRNA pathway polymorphisms as potential prognostic and/or predictive markers in mCRC should ideally include an integrated approach using bioinformatical tools combined with biological data to get a comprehensive understanding of the role and functions of miRNA polymorphisms and cetuximab response.

And the opportunities are almost limitless, ranging from the creation of apps that help people explore health issues on their electronic gadgets, to analysis software for biological data that helps improve the understanding of how the body responds to disease, to kit that makes diagnosis more accurate.

Evaluations on biological data are therefore important for understanding how an algorithm will perform under more realistic circumstances.

The increasing availability of high-throughput biological data sets promises a deeper understanding of cellular processes than has ever previously been accessible.