SEQPROC: an efficient, flexible, and concise tool for sequence geometry description and transformation

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Abstract

Complex sequencing protocols encode technical information in read structure and require accurate, efficient preprocessing. We introduce seqproc , which compiles concise sequence-geometry descriptions into execution graphs. Across four single-cell RNA-sequencing protocols, seqproc has the lowest mean runtime at every tested thread count and uses substantially less memory than the next-fastest tool. It has the highest F1 agreement with conservative structural references on all three discriminative chemistries and ties both alternatives on the 10x length-filter control. By separating protocol description from execution, seqproc makes complex read transformations compact, reusable, and efficient.

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