Sentence examples for most current gene from inspiring English sources
To carry out a meta-analysis of these three data sets (Fig. 1e), we devised a stringent reciprocal BLASTP protocol that necessitated reanalysis of each data set to acquire the most current gene models available.
Although most current gene therapy clinical trials focus on cancer and inherited diseases, multiple studies have evaluated the efficacy of gene therapy to abrogate various forms of heart disease.
Most current gene therapy clinical trials are using viral vectors that are self-replication defective.
The most current Gene Ontology mappings provided by pombase.org, the reference genome database for S. pombe, is predominantly limited to annotation for protein coding genes.
To ensure that the gene-based searches always reflect the most current gene structure, genes that have been structurally altered during our reannotation were targeted each evening by EGC and reprocessed to gather the latest bioinformatics data.
The image analysis results were merged with Excel files in GenePix Report (GPR) format, which contains clone identification, spot location on slide, and most current gene name/function (based on BLASTX/BLASTN score).
Most current synthetic gene design strategies are guided by mimicry of natural gene characteristics thought to be relevant for increased expression [4].
This is true for most current cancer gene therapy approaches, since the majority of therapeutic genes are toxic to both tumour and normal tissues.
However, most current disease gene prediction approaches (Hwang et al., 2012; Lage et al., 2007; Li and Patra, 2010; Vanunu et al., 2010; Wu et al., 2008, 2009) used only one single data source of human disease phenotypes.
This larger training set improves the predictions made by the program, now called GreenGenie2, as determined on a set of 140 well-characterized Chlamydomonas genes that were not included in the training set and outperforms the most current published gene-finder trained for Chlamydomonas.
Most current single-gene DEG identification algorithms, however, take it as a statistical significance test problem without referring to the real characteristics of differentially expressed genes [ 10].
