Publications by authors named "H Suetake"

Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, providing representations of workflow plans and their executions as well as means of packaging the resulting information for archiving and sharing. However, existing approaches tend to lack interoperable adoption across workflow management systems.

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Article Synopsis
  • - The rising need for efficient data analysis in biomedical research is driving the use of workflow systems, which help researchers streamline and execute data analysis steps, especially in high-throughput DNA sequencing.
  • - The diversity of workflow systems in the research community has led to fragmented efforts, making it challenging for researchers to learn and utilize all available systems when accessing shared workflows.
  • - To address this issue, Sapporo was developed as a unified application that simplifies workflow execution across various systems, featuring an API and a client interface that supports multiple workflow languages, thereby enhancing resource utilization in data analysis.
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CD4 and LAG-3 are related molecules that are receptors for MHC class II molecules. Their major functional differences are situated in their cytoplasmic tails, in which CD4 has an activation motif and LAG-3 an inhibitory motif. Here, we identify shark and show that a previously identified shark gene has a genomic location, expression pattern, and motifs similar to in other vertebrates.

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Background: Reproducibility of data analysis workflow is a key issue in the field of bioinformatics. Recent computing technologies, such as virtualization, have made it possible to reproduce workflow execution with ease. However, the reproducibility of results is not well discussed; that is, there is no standard way to verify whether the biological interpretation of reproduced results is the same.

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Background: Many open-source workflow systems have made bioinformatics data analysis procedures portable. Sharing these workflows provides researchers easy access to high-quality analysis methods without the requirement of computational expertise. However, published workflows are not always guaranteed to be reliably reusable.

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