LRez：C++ API和用于分析和管理Linked-Reads数据的工具包
LRez: C++ API and toolkit for analyzing and managing Linked-Reads data
摘要：
Linked-Reads技术，如10x Genomics，通过使用能够标记源自共同长DNA片段的读段的条形码，将短读段测序的高质量和低成本与长距离信息相结合。该技术已用于广泛的应用，包括基因组的组装或定相，以及结构变异检测。然而，到目前为止，还没有专门用于操作Linked-Reads数据的工具或API。我们介绍LRez，这是一个C++ API和工具包，可以轻松管理Linked-Reads数据。LRez包括各种功能，用于计算基因组区域之间的共同条形码的数量，从BAM文件中提取条形码，以及索引和查询BAM和FASTQ文件以快速获取共享一个或多个条形码的读取或比对。因此，LRez可用于需要条形码处理的广泛应用，以提高其性能。LRez是用C++实现的，在Linux平台上受支持，并在www.example.com的AGPL-3.0许可证下提供。
英文摘要：
Linked-Reads technologies, such as 10x Genomics, combine both the high-quality and low cost of short-reads sequencing and a long-range information, through the use of barcodes able to tag reads which originate from a common long DNA fragment. This technology has been employed in a broad range of applications including assembly or phasing of genomes, and structural variant calling. However, to date, no tool or API dedicated to the manipulation of Linked-Reads data exist. We introduce LRez, a C++ API and toolkit which allows easy management of Linked-Reads data. LRez includes various functionalities, for computing number of common barcodes between genomic regions, extracting barcodes from BAM files, as well as indexing and querying both BAM and FASTQ files to quickly fetch reads or alignments sharing one or multiple barcodes. LRez can thus be used in a broad range of applications requiring barcode processing, in order to improve their performances. LRez is implemented in C++, supported on Linux platforms, and available under AGPL-3.0 License at https://github.com/morispi/LRez.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
