Sentence examples for molecular datasets such from inspiring English sources

Scaffold Hunter is then ready to import molecular datasets (such as SDF-Files), compute scaffold trees and show the above described views on the imported data.

The KEGG database is a bioinformatics tool that assembles large-scale molecular datasets, such as gene lists, into biological pathway maps (example Additional file 6).

They have been used in the analysis of large molecular datasets such as microarray data, Next Generation sequencing, and other genomic datasets to reveal pleiotropic and multigenic contributions to phenotypic outcomes.

Larger molecular datasets, such as one with entire mitochondrial genomes and 13 nuclear loci (>15 Kb) more adequately resolved the phylogeny, and estimated rates of sequence evolution and a split from a cardueline finch lineage at 5.7 Mya [ 12].

The concept presented may also be applied to different molecular datasets such as gene copy number variations, protein expression or metabolite concentrations, thus making it a widely applicable data analysis tool.

Kvik Pathways allows users to interactively explore a molecular dataset, such as gene expression, through a web application.

Finally, we discuss how network-based analyses of such molecular datasets could benefit biodiversity studies.

Apart from the flux simulations, another important problem in the field of metabolic systems biology that can be addressed by using reconstructed genome-scale models is the integration of the different genome-wide bio-molecular abundance datasets, i.e. omics datasets, such as transcriptome and metabolome.

Here we show that short, linear protein motifs can be efficiently recovered from proteome-scale datasets such as sub-cellular localization, molecular function, half-life, and protein abundance data using an information theoretic approach.

Similar approaches could be directed toward the exploration and understanding of diverse biological datasets, such as pathways, gene regulatory networks, and molecular interactions.

The publicly available molecular datasets anchored to well-characterized disease phenotypes provide an excellent framework upon which such methods can be developed and further validated.