Sentence examples for gene characterization from inspiring English sources

Gene knockout studies have elucidated several details of the biosynthetic steps; however, gene characterization has been limited by enzymes of no known function.

Vectors for gene ectopic expression, silencing, knock-out, promoter activity assay, protein subcellular localization, protein-protein interaction, and enzyme activity analysis are essential tools for gene characterization (Prelich 2012).

Genomics science facilitates characterization of entire eukaryote genomes at the DNA sequence level, but for crop plants with complex genomes such as sugarcane, gene characterization is currently best achieved via expressed sequence tag (EST) analysis where sequence information is restricted to genes that are actually functioning in a particular tissue or situation.

The size of Celsius makes UGET a powerful gene characterization tool.

We used the R Statistical Language (http://www.r-project.org/) to implement all gene characterization score prediction methods.

This Genome Database includes murine data on gene characterization, nomenclature, mapping, gene homologies, sequence links, phenotypes, allelic variants and mutants, and strain data [55].

An emerging paradigm is the use of recently developed Babesia and Anaplasma transfection methods for functional gene characterizations and for vaccine development.

For example, the calculation of heterozygosity and detection of signatures of recent positive selection assume clonal samples, and de novo assembly of genomes derived from multiclone infections can lead to potentially cryptic gene characterizations.

The assignment of specific functions to genes is a dynamic process; after the first automated computational analysis of all sequencing data (e.g. large expressed sequence tags (ESTs) collections, genomic DNA, single-gene characterization), further studies using both bioinformatics and experimental approaches are performed.

LP supervised both the BL/ESBL screening work and the genes characterization activity.

Previously, we have used coexpression analysis of large mouse datasets to provide functional annotation of genes, characterization of cell types and discovery of candidate disease genes [ 13- 16].