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joint high performance computing exchange (jhpce) compute clusters  (Johns Hopkins HealthCare)

 
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    Johns Hopkins HealthCare joint high performance computing exchange (jhpce) compute clusters
    Joint High Performance Computing Exchange (Jhpce) Compute Clusters, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/high-performance+computing+system/joint+high+performance+computing+exchange++jhpce++compute+clusters/pmc12258134-568-10-19
    Average 90 stars, based on 1 article reviews
    joint high performance computing exchange (jhpce) compute clusters - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Differential roles of positive and negative supercoiling in organizing the E. coli genome.
    Article Snippet: All computations were performed on the Joint High-Performance Computing Exchange (JHPCE), organized by the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, and the Maryland Advanced Research Computing Center (MARCC) Rockfish cluster.

    Article Title: nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes.
    Article Snippet: We also thank themaintainers of the Joint High Performance Computing Exchange (JHPCE) compute cluster at Johns Hopkins Bloomberg School of Public Health for providing essential computing resources.

    Article Title: SpotSweeper: spatially aware quality control for spatial transcriptomics.
    Article Snippet: Quality control (QC) is a crucial step to ensure the reliability of data obtained from RNA sequencing experiments, including spatially resolved transcriptomics (SRT).. Existing QC approaches for SRT that have been adopted from single-cell or single-nucleus RNA sequencing methods are confounded by spatial biology and are inappropriate for SRT data.. In addition, no methods currently exist for identifying histological tissue artifacts that are unique to SRT.

    Article Title: SpotSweeper: spatially-aware quality control for spatial transcriptomics
    Article Snippet: We would like to also thank the maintainers of the Joint High Performance Computing Exchange (JHPCE) compute clusters at Johns Hopkins Bloomberg School of Public Health for providing essential computing resources.

    Article Title: Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design
    Article Snippet: Computational analyses were 632 performed using the Joint High Performance Computing Exchange (JHPCE) high-performance 633 computing facility in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public 634 Health.

    Article Title: An ensemble penalized regression method for multi-ancestry polygenic risk prediction.
    Article Snippet: The analysis utilized the Joint High-Performance Computing Exchange at Johns Hopkins Bloomberg School of Public Health.



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