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Monday, 30 June 2014

q pipeline manager download

q pipeline manager

q pipeline manager Description
The q utility is a platform for creating and managing data analysis pipelines. It expands the value of your existing job scheduler - either Grid Engine or TORQUE PBS - through numerous functions that help you organize, submit, monitor, manage and share your informatics work.

Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently assembled and managed, including dependency tracking, parallelization, and pipeline-level monitoring, error recovery, and data protection. Pipelines are constructed from modular script files, with job definitions and results stored in easily retrieved job files. A web interface facilitates job submission and monitoring, with the complete pipeline exportable for full transparency.
q pipeline manager Features
  • Organization of work into higher order units from existing code pieces in any language.
  • Pipelines are submitted and managed as a unit by calls to a single master file.
  • Robust definition and tracking of job dependencies.
  • Multiple modes of parallelization maximize resource utilization and minimize time to results.
  • Admixture of submission-time and execution-time commands supports dynamic job configuration.
  • Intelligent tracking of queued jobs supports incremental execution of new work.
  • A few q-specific syntax elements create complex pipelines with minimal code.
  • Highly modular structure facilities code reuse and sharing.
  • Various features facilitate cross-platform implementation of pipelines.
  • Extensive submission-time syntax checking helps prevent fractured pip elines.
  • Enhanced job reporting and interfaces into job scheduler functions, including error handling.
  • Write-protection and backup of output files integrated into pipeline definition files.
  • History tracking of all work performed in a pipeline, with rollback.
  • Web-based interface into job submission and management.
  • Fully transparent sharing of work at publication via comprehensive HTML reports.
  • End-user installation with no required management by system administrators.

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