The platform consists of three modules, which are pre‐configured bioinformatic pipelines, cloud toolsets, and online omics' courses. The pre‐configured bioinformatic pipelines not only combine analytic tools for metagenomics, genomes, transcriptome, proteomics and metabolomics, but also provide users with powerful and convenient interactive analysis reports, which allow them to analyze and mine data independently. As a useful supplement to the bioinformatics pipelines, a wide range of cloud toolsets can further meet the needs of users for daily biological data processing, statistics, and visualization. The rich online courses of multi‐omics also provide a state‐of‐art platform to researchers in interactive communication and knowledge sharing.

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Valsa is a genus of ascomycetes fungi within the family Valsaceae that includes many wood destructive pathogens. The species such as Valsa mali and Valsa pyri that colonize fruit trees are threatening the global fruit production. Rapid host adaptation and fungicide resistance emergence are the main characteristics that make them devastating and hard to control. Efficient disease management can be achieved from early infection diagnosis and fungicide application, but lack of understandings of their genetic diversity and genomic features that underpin their pathogenicity evolution and drug resistance is essentially impeding the progress of effective and sustainable disease control. Here, we report genome assemblies of Valsa malicola, Valsa persoonii and Valsa sordida which represents close relatives of the two well known Valsa mali and Valsa pyri that cause canker disease with different host preferences. Comparative genomics analysis revealed that segmental rearrangements, inversions and translocations frequently occurred among Valsa spp. genomes. Genes identified in highly active regions exhibited high sequence differentiation and are enriched in membrane transporter proteins involved in anti-drug and nutrient transportation activities. Consistently, we also found membrane transporter gene families have been undergoing significant expansions in Valsa clade. Furthermore, unique genes that possessed or retained by each of the five Valsa species are more likely part of the secondary metabolic (SM) gene clusters which suggests SM one of the critical components that diverge along with the evolution of Valsa species. Repeat sequence content contributes significantly to genome size variation across the five species. The wide spread AT-rich regions resulted from repeat induced point C to T mutation (RIP) exhibited a specific proximity to secondary metabolic gene clusters and this positional proximity is correlated with the diversification of SM clusters. Lastly, we show that LaeA, the global regulator of secondary metabolic gene cluster, exhibiting diverged manner of regulation on the expression of clusters in vegetative and invasive mycelia of the devastating Valsa mali indicating the complexity of secondary metabolism in fungal species.

OFDM is a practical and efficient In this paper, the characteristic of OFDM signal based modulation technology. Frequency synchronization on BPSK is analysed and the cost function which varies for OFDM is very important because the carrier with the carrier frequency offset as a sine function is frequency offset (CFO) will damage the performance.deduced. When the frequency offset estimation makes use