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2. UGENE - Wikipedia

   en.wikipedia.org/wiki/UGENE

   The graphical interface also allows controlling the workflow execution, storing the parameters, and so on. There is an embedded library of workflow samples to convert, filter, and annotate data, with several pipelines to analyze NGS data developed in collaboration with NIH NIAID. [22] A wizard is available for each workflow sample.

3. Anduril (workflow engine) - Wikipedia

   en.wikipedia.org/wiki/Anduril_(workflow_engine)

   Anduril is an open source component-based workflow framework for scientific data analysis [2] developed at the Systems Biology Laboratory, University of Helsinki.. Anduril is designed to enable systematic, flexible and efficient data analysis, particularly in the field of high-throughput experiments in biomedical research.

4. Flowchart - Wikipedia

   en.wikipedia.org/wiki/Flowchart

   A flowchart is a type of diagram that represents a workflow or process. A flowchart can also be defined as a diagrammatic representation of an algorithm, a step-by-step approach to solving a task. The flowchart shows the steps as boxes of various kinds, and their order by connecting the boxes with arrows.

5. Laboratory information management system - Wikipedia

   en.wikipedia.org/wiki/Laboratory_information...

   Lab orders in the LIMS module of the GNU Health project.. A laboratory information management system (LIMS), sometimes referred to as a laboratory information system (LIS) or laboratory management system (LMS), is a software-based solution with features that support a modern laboratory's operations.

6. Workflow management system - Wikipedia

   en.wikipedia.org/wiki/Workflow_management_system

   The underlying theoretical basis of workflow management is the mathematical concept of a Petri net. [4] Each of the workflow models has tasks (nodes) and dependencies between the nodes. Tasks are activated when the dependency conditions are fulfilled.

7. Hi-C (genomic analysis technique) - Wikipedia

   en.wikipedia.org/wiki/Hi-C_(genomic_analysis...

   To obtain a high complexity library of ligation products that will ensure high resolution and depth of data, a sample of 20–25 million cells is required as input for Hi-C. [3] [4] Primary human samples, which may be available only in fewer cell numbers, could be used for standard Hi-C library preparation with as low as 1–5 million cells. [4]