Seven Bridges Genomics, Inc.

Nebojsa Tijanic

Sinisa Ivkovic

Damir Cohadarevic

Janko Simonovic

Luka Stojanovic

In one embodiment, a method of processing a computational workflow comprises receiving a description of a computational workflow. The description comprises a plurality of steps, in which each step has at least one input and at least one output, and further wherein an input from a second step depends on an output from a first step. The description is translated into a static workflow graph stored in a memory, the static workflow graph comprising a plurality of nodes having input ports and output ports, wherein dependencies between inputs and outputs are specified as edges between input ports and output ports. Information about a first set of nodes is then extracted from the static workflow graph and placed into a dynamic graph. A first actionable job is identified from the dynamic graph and executed.

Systems and methods for processing computational workflows

The invention relates to bioinformatics pipelines and wrapper scripts that call executables in those pipelines and that also identify beneficial changes to the pipelines. A tool in a pipeline has a smart wrapper that can cause the tool to analyze the sequence data it receives but that can also select a change to the pipeline when circumstances warrant. In certain aspects, the invention provides a system for genomic analysis. The system includes a processor coupled to a non-transitory memory. The system is operable to present to a user a plurality of genomic tools organized into a pipeline. At least a first one of the tools comprises an executable and a wrapper script. The system can receive instructions from the user and sequence data&#x2014;instructions that call for the sequence data to be analyzed by the pipeline&#x2014;and select, using the wrapper script, a change to the pipeline.

Systems and methods for smart tools in sequence pipelines

A tool in a bioinformatics pipeline can include a smart wrapper and an executable. The smart wrapper can cause the executable to analyze the sequence data it receives and can also selectively change to the pipeline when circumstances warrant. In certain aspects, a system for genomic analysis includes a processor coupled to a non-transitory memory. The system is operable to present to a user a plurality of genomic tools organized into a pipeline. At least a first one of the tools comprises an executable and a wrapper script. The system can receive instructions from the user and sequence data&#x2014;instructions that call for the sequence data to be analyzed by the pipeline&#x2014;and select, using the wrapper script, a change to the pipeline.

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Belgrade, Republic of Serbia

Nebojsa Tijanic