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哈比:一种用于处理单倍型标记连接读段数据的流程。

Harpy: a pipeline for processing haplotagging linked-read data.

作者信息

Dimens Pavel V, Franckowiak Ryan P, Iqbal Azwad, Grenier Jennifer K, Munn Paul R, Therkildsen Nina Overgaard

机构信息

Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14853, United States.

Genomics Innovation Hub, Biotechnology Resource Center, Cornell University, Ithaca, NY 14853, United States.

出版信息

Bioinform Adv. 2025 Jun 5;5(1):vbaf133. doi: 10.1093/bioadv/vbaf133. eCollection 2025.

Abstract

MOTIVATION

Haplotagging is a method for linked-read sequencing, which leverages the cost-effectiveness and throughput of short-read sequencing while retaining part of the long-range haplotype information captured by long-read sequencing. Despite its utility and advantages over similar methods, existing linked-read analytical pipelines are incompatible with haplotagging data.

RESULTS

We describe Harpy, a modular and user-friendly software pipeline for processing all stages of haplotagged linked-read data, from raw sequence data to phased genotypes and structural variant detection.

AVAILABILITY AND IMPLEMENTATION

https://github.com/pdimens/harpy.

摘要

动机

单倍型标记是一种用于连接读取测序的方法,它利用了短读长测序的成本效益和通量,同时保留了长读长测序所捕获的部分长程单倍型信息。尽管它具有实用性且优于类似方法,但现有的连接读取分析流程与单倍型标记数据不兼容。

结果

我们描述了Harpy,这是一个模块化且用户友好的软件流程,用于处理单倍型标记连接读取数据的各个阶段,从原始序列数据到定相基因型和结构变异检测。

可用性和实现方式

https://github.com/pdimens/harpy

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