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Data Processing Pipelines

A bioinformatics pipeline is a series of computational steps designed to process and analyze biological data, transforming raw inputs into meaningful insights.

In genome sequencing, pipelines automate tasks such as read alignment, variant calling, and annotation, ensuring efficient and accurate data interpretation.

Building a bioinformatics pipeline involves selecting appropriate tools, integrating them into a cohesive workflow, and validating the process to ensure reliable results.

Key components of a bioinformatics pipeline include data preprocessing, alignment, analysis, and visualization modules.

In bioinformatics, a 'pipeline' refers to a predefined, linear sequence of processes, whereas a 'workflow' may encompass a more flexible, possibly non-linear arrangement of tasks.

The term 'process' generally denotes a single computational task, while a 'pipeline' refers to a connected series of such processes working together to analyze data.