30 results about "Gene map" patented technology

The embodiment of the present invention discloses a method and device for implementing malicious traffic detection based on deep learning. The method may include: obtaining the traffic session of malicious code through dynamic sandbox technology; mapping the traffic session of malicious code into a gene map and extracting the map features, using the map features of traffic sessions to cluster, and mark the clustering results as malicious code families; use the marked genetic maps of malicious code families to train the preset deep learning model to establish a malicious traffic detection model; use malicious The traffic detection model detects the real-time traffic of the network to realize malicious traffic detection. Through this embodiment scheme, many problems existing in the current detection technology, such as difficulty in manual feature extraction, privacy leakage, difficult identification of encryption and confusion, manual extraction of machine learning features, etc., are solved to a certain extent, and the robustness is high, and it has Fast, high accuracy, low false alarm rate, cross-platform detection, etc.

The invention relates to the field of wheat genetics and its molecular breeding, in particular to the development and application of functional markers of the powdery mildew resistance gene of the goat grass. The present invention is effective in anti-powdery mildew gene of goat grass Ml2147 On the basis of map-based cloning, using the specific structural sequence of its candidate gene, developed SDAU‑2147 Functional markers and verification using more than 180 natural germplasms of A. tachyphylla. The results prove that the functional marker provided by the present invention has the characteristics of fast, direct, high-throughput, etc., and has high specificity. Worked on wheat powdery mildew resistance breeding.

The invention provides a gene sequence processing method, a computer storage medium and electronic equipment. The gene sequence processing method includes the following steps: S1, uploading the gene sequence, and setting a recovery password; S2, setting the recovery password The gene sequence is stored as a gene picture in picture format; S3, upload the gene picture, input a password, and judge whether the password matches the recovery password; S4, when the password matches the recovery password , restore the gene picture to the gene sequence. According to the gene sequence processing method of the embodiment of the present invention, when storing the gene sequence, by converting it into an image format for storage, the space occupied by data storage can be greatly reduced, the speed of gene sequence transmission can be improved, and the gene sequence In the process of converting to pictures, encrypting them can effectively improve information security.

The invention relates to a technological method for rapidly and finely positioning rice germplasm resource genes. The method mainly comprises the following steps: (1) selecting a rice variety with wide hereditary variation as a donor, and carrying out hybridization and backcrossing on the rice variety with the same recurrent parent respectively; selecting target traits including high yield, drought control, salt resistance and the like from a random population of a backcrossing introgressive line, so as to obtain a selected introgressive line population with the target traits; (2) carrying out non-target trait phenotype inspection on the multi-parent selected introgressive line population; positioning QTL (Quantitative Trait Locus) influencing non-target traits by utilizing a gene type and a phenotype, which are obtained by high-throughput sequencing, through genome-wide association analysis; (3) identifying a recombinant strain in a QTL confidence interval by adopting a high-density SNP (Single Nucleotide Polymorphism) gene type, and selectively inducing the recombinant strain with low frequency and combining a phenotype value to further finely position a QTL. The method is suitable for carrying out quantity trait QTL positioning and fine positioning on a multi-parent backcrossing population subjected to high-density sequencing; the gene map-based cloning time is shortened and a molecular breeding process is greatly accelerated.