Sentence examples for genomic data analysis from inspiring English sources

MARK REIMERS Richmond, Va., July 8, 2011 The writer is a genomic statistician who has worked on genomic signatures at the National Cancer Institute and who leads the course on genomic data analysis at Cold Spring Harbor Labs.

The researcher needed only to bring the genomic data analysis software and the data.

The data-driven and visual-aided ability of ATLAS presents a general strategy for regulatory genomic data analysis.

The company is simultaneously announcing the launch of its first product, Deploit, what it claims is the world's first AI-powered genomic data analysis platform, and, says the company, is already being trialled by major pharmaceutical and biotech companies.

The graph process paradigm for module finding, originally introduced in [9] and adapted and extended for genomic data analysis here, offers a natural extension of the probabilistic analysis of graphs.

As 658 of the 1,576 identified genes of the H. pylori genome [15] are annotated as "hypothetical" or as bearing a hypothetical function [16], we aimed at the identification of H. pylori genes possibly coding for secreted proteases by combining genomic data analysis with zymography.

Clustering can be used in post-genomic data analysis to group strains with similar traits.

Indeed, the excellent survey by Handl et al. is a big step forward in making the study of those validation techniques a central part of both research and practice in bioinformatics, since it provides both a technical presentation as well as valuable general guidelines about their use for post-genomic data analysis.

This may indicate that preprocessing of the data can have a significant effect on the detection resolution of an individual genomic microarray experiment and argues for a significant effort to be made in this field of genomic microarray data analysis.

Additional genomic data and analysis are needed.

Due to the specific and complicated characteristics of genomic data, proper analysis and generation of useful inference represent real mathematical and statistical challenges.