New product | PopGenomics
Genome Variation Detection Rapid Edition
Biotech's new product PopGenomics went online
Agricultural genome research and genome breeding have entered the era of population genome and pan genome. The number of samples included in genome research and breeding projects, such as corn, rice, soybeans, rape and so on, has reached the order of hundreds or even thousands. How to quickly obtain genome variation from sequencing data is the bottleneck of genome research and breeding. The PopGenomics product of BIO Cloud is a solution for the era of group genome and pan genome.
There is no fastest, only faster
There is no most accurate, only more accurate
Bioyun PopGenomics used MGISEQ2000 sequencer and human gold standard GIAB sample data to benchmark GPU accelerated genomic variation detection. The benchmark test results show that compared with the mainstream standard GATK, the scheme based on GPU is better in SNP results and consistent in INDEL results, which fully proves the accuracy of the scheme based on GPU acceleration.
Genome testing of agricultural animals and plants
In benchmark tests including multiple animal and plant genomes, the highest speed of gene mutation detection has reached more than 300 times.
GPU chip is specially designed for artificial intelligence, machine learning and computing acceleration. BioCloud PopGenoimcs product unifies genome computing acceleration and genome AI and machine learning analysis platform on GPU public cloud and private cloud, so as to achieve rapid delivery of genome analysis.
BAOYUN and Saile Gene have reached a strategic partnership in the agricultural field to jointly provide fast, accurate and efficient services for agricultural genome research and breeding customers!
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Targeted sequencing is a method to isolate, enrich and sequence a group of target genes or genome regions. This method enables researchers to focus time, cost and data analysis on specific regions of interest (target regions, genes), and use less data to obtain higher sensitivity and accuracy, so as to achieve rapid screening of mutation sites. These target regions usually include exome (the protein coding part of the genome), specific genes of interest (customized content), and target regions in genes or mitochondrial DNA.
FBI seq (Foreground and Background Integrated genotyping by sequencing) is not sequencing by the US Federal Bureau of Investigation, but genotyping sequencing integrating foreground and background. As the name implies, this technology realizes the detection and selection of foreground genes and genetic background at the same time. The selection of foreground and background is two very important steps in molecular breeding. At present, breeders often need to carry out these two steps independently: first, screen foreground target sites, and then develop a large number of probes/bait/PCR primers to detect background genotypes. These time-consuming and costly preparations greatly delay the start of breeding projects.
Deeply cultivate the agricultural core, and work together for the future. In response to the call of the country to build a "China core" of seed industry, and to promote the joint construction of the "Northern Seed City", Phoenix Expo was officially upgraded to the "China Northern Seed Expo" on the basis of successfully holding three sessions of China Shandong International Vegetable Seed Expo, focusing on new varieties and new technologies such as field, vegetables, fruits and vegetables, horticulture, balcony agriculture, and combining cloud seed industry, cloud plant protection, cloud agricultural science platform, Build online and offline promotion and trading dual platforms for seed breeding. The 2022 Northern Species Expo will be linked with the 29th Shandong Double Trade Fair for Plant Protection, China Shandong International New Fertilizer Exhibition, and China (Shandong) New Agricultural Equipment Exhibition!
The genotype detected by the method of high depth re sequencing is undoubtedly the most comprehensive, but at present, the cost of application in animal and plant breeding is too high, especially for those species with complex and huge genomes. As mentioned in the previous issue, researchers usually use a unique library construction method to carry out simplified genome sequencing (RAD seq), thereby reducing the cost of genotyping. However, the amount of simplified genome data is generally only 1~10% of the total genome, and a lot of information is still lost. Pool sequencing is also an effective way to reduce the cost of population research, but it cannot analyze individuals, which has little effect on animal and plant breeding.
On October 13, the agricultural industry observed and planned a series of future agricultural activities. This activity focused on the theme of "the core future, the road to commercialization of biological breeding". It was hoped that through the interpretation and sharing of the breeding innovation layout of breeding companies and agricultural science and technology companies, new trends, industrialization and commercialization of biological breeding, the new picture, new business and new models of biological breeding would be revealed, and the possibility of future seed industry would be jointly looked forward to. Wu Xin, chief technology officer of Biocloud, participated in this activity and shared the theme of "accelerating the application of artificial intelligence and leading precision breeding". The following is a summary of the essence of the speech.
The layman who hears "gene chip" for the first time can easily connect it with the electronic chip of industrial integrated circuit. In fact, except that they all use micro technology to make the appearance more similar, they have nothing to do with each other and are purely porcelain. Gene chip, also known as DNA chip, biochip or DNA microarray, is based on the principle of specific interaction between molecules, integrating discontinuous analysis processes on the surface of solid phase chips such as silicon or glass, to achieve accurate, rapid and large detection of cells, proteins, genes and other biological components. According to specific scientific research and application contents, gene chips can be subdivided into microarray comparative genomic hybridization (a-CGH) chips, microRNA chips, SNP chips, expression profile chips, DNA methylation chips and chromatin immunoprecipitation chips.