Sentence examples for genomic data analyses from inspiring English sources

ZJT contributed to genomic data analyses.

Such network-based integration approach can be extended to any temporal- or condition-dependent genomic data analyses.

Such network-based integration approach can be easily extended to any temporal- or condition-dependent genomic data analyses.

Many modern genomic data analyses require implementing regressions where the number of parameters (p, e.g., the number of marker effects) exceeds sample size (n).

Although all ORs share the same G-protein coupled receptor structure with seven transmembrane domains, they share poor sequence identity within and between species, and have been identified mainly through genomic data analyses.

PLSR is an ordinary statistical technique included in the most popular commercial and free software packages that are currently used to perform genomic data analyses, such as SAS® and R. The PLSR approach could thus be easily implemented in software for genomic evaluations previously developed.

J.W., X.W., J.Z., Q.L., Z.S., P.W., S.W., R.J.C.S. and B.Z. performed proteomic-genomic data analyses.

In summary, MochiView was developed to solve problems we encountered in our basic research efforts, allowing us to integrate different types of genomic data and analyses in a single format where biological correlations and insights popped out from the screen.

Genomic data (including analyses of ESTs) indicate ancient polyploidy for other angiosperms [ 21], including the basal angiosperm Nuphar advena, the magnoliids Persea americana, Liriodendron tulipifera, and Saruma henryi, the basal monocot Acorus americanus, and the basal eudicot Eschscholzia californica [ 22].

Using both supertree and concatenated methods, all available fungal genomic data was analysed in an effort to address some long-standing questions regarding ancestry and sister group relationships amongst diverse fungal species.

Since more datasets now contain measures of genetic variation, it is reasonable to postulate that incorporating genomic data in economic analyses will become more common.