4 results about "Processed Genes" patented technology

The present invention provides polynucleotide vectors for high expression of heterologous genes. Some vectors further comprise novel elements that further improve expression. The gene transfer systems can be used in methods, for example, gene expression, bioprocessing, gene therapy, insertional mutagenesis, or gene discovery.

The present invention provides polynucleotide vectors for high expression of heterologous genes. Some vectors further comprise novel transposons and transposases that further improve expression. Further disclosed are vectors that can be used in a gene transfer system for stably introducing nucleic acids into the DNA of a cell. The gene transfer systems can be used in methods, for example, gene expression, bioprocessing, gene therapy, insertional mutagenesis, or gene discovery.

The application discloses a multi-scale space transcriptome domain identification method based on a block wavelet graph, and comprises the following steps: acquiring original gene data of a space transcriptome; pre-processing the original gene data to obtain processed gene data; performing multi-scale feature extraction on the processed gene data to obtain feature data information; training a block-level model by using the feature data information to obtain a trained block-level model; outputting a block reasoning result by using the trained block-level model, and performing clustering analysis after global recombination of the block reasoning result to obtain a space domain division result. The application can accurately capture cross-scale biological signals, break through hardware limitations, and realize efficient and accurate space domain identification of super-large-scale µST data.

The present application relates to the technical field of biological information, and discloses a method for mining excellent genes of sorghum. The method for mining excellent genes of sorghum comprises the following steps: determining quality traits required for breeding sorghum varieties according to literature or experience, and selecting sorghum varieties with and without the required quality traits; obtaining gene expression of a transcriptome of the sorghum varieties through sequencing; pre-processing gene expression data of the transcriptome, and selecting features of the pre-processed data by using a genetic algorithm for each quality trait; and selecting all trait excellent gene sets as a set of excellent genes of sorghum, thereby providing a set of candidate excellent genes for sorghum breeding.