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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-05-23
摘要
The generation of different types of defective viral 基因組s (DVG) is an unavoidable consequence of the error-prone replication of RNA 病毒es. In recent years, a particular class of DVGs, those containing long deletions or 基因組 rearrangements, has gain interest due to their potential therapeutic and biotechnological applications. Identifying such DVGs in high-throughput sequencing (HTS) data has become an interesting 計算 problem. Several algorithms have been proposed to accomplish this goal, though all incur false positives, a problem of practical interest if such DVGs have to be synthetized and tested in the laboratory. We present a metasearch tool, DVGfinder, that wraps the two most commonly used DVG search algorithms in a single workflow for the identification of the DVGs in HTS data. DVGfinde
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