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    Unlike other platforms, leverages unique, extensive data from the LifeMap Integrated Knowledgebase to infer direct, as well as indirect links, between genes and diseases/phenotypes.

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    升级GPU Turbo游戏免费提速 荣耀10现货2599-手机专区:2021-6-29 · GPU Turbo是一种类似汽车上涡轮增压的技术,是一种软硬协同的图形加速技术,能够提高手机GPU的性能,图形处理效率提高60%。 6月6日,荣耀官方已经宣布,GPU Turbo将于6-7月开启HOTA升级,包括华为Mate、P系列众及荣耀V10、荣耀10等旗舰机型和其他机型都将升级GPU Turbo技术。

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    Powered by LifeMap's integrated knowledgebase, which utilizes data from more than 100 select sources.

    Direct access to supporting evidence and further information

    Provides annotated results with direct links to supporting evidence and further information available in the LifeMap Integrated Knowledgebase.

    Proprietary and unique matching algorithm

    Our algorithms utilize associations between genes and diseases/phenotypes based on shared pathways, interaction networks, paralogy relations and mutual publications.

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    小牛加速器免费试用-快连加速器app

    • Interpret next generation sequencing results
    • Identify & Prioritize genes and variants according to their relevance to diseases and phenotypes of interest
    • Explore relationships between genes and gene variants and selected diseases or phenotypes via relevant pathways, interaction networks and publications
    • Discover biomarkers for diseases

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    Stelzer G, Plaschkes I, Oz-Levi D, Alkelai A, Olender T, Zimmerman S, Twik M., Belinky F, Fishilevich S, Nudel R, Guan-Golan Y, Warshawsky D, Dahary D, Kohn A, Mazor Y, Kaplan S, Iny Stein T, Baris H, Rappaport N, Safran M, and Lancet D VarElect: the phenotype-based variation prioritizer of the GeneCards suite, BitTorrent Turbo AcceleratorPC版下载-BitTorrent Turbo ...:2021-1-6 · BitTorrent Turbo Accelerator是一款针对 BitTorrent下载工具的加速器。它采用最新技术,可众保证用户的带宽得到充分利用。 [PDF]

    Stelzer G, Rosen R, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, Iny Stein T, Nudel R, Lieder I, Mazor Y, Kaplan S, Dahary, D, Warshawsky D, Guan-Golan Y, Kohn A, Rappaport N, Safran M, and Lancet D. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analysis, Current Protocols in Bioinformatics (2016), 54:1.30.1-1.30.33. doi: 10.1002/cpbi.5. [PDF]

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