标题： CoverM：宏基因组学的读段比对统计信息 显示英文标题

标题： CoverM: Read alignment statistics for metagenomics

摘要： 基于基因组的宏基因组样本分析是一种理解微生物群落功能的强大方法。 计算读数覆盖率是分析的核心部分，可实现差异覆盖率分箱以恢复基因组并估计微生物群落组成。 覆盖率是通过处理读数对参考序列（如重叠群或基因组）的比对来确定的。 每个参考的覆盖率通常以临时方式计算，每个软件包都有自己的实现和特定的覆盖率定义。 在这里，我们介绍了一个统一的软件包 CoverM，它以用户友好且灵活的方式计算重叠群和基因组的几种覆盖率统计信息。 它使用“Mosdepth数组”以提高计算效率，并通过从流式读数比对结果中计算覆盖率统计信息来避免不必要的I/O开销。 CoverM 是免费软件，可在 https://github.com/wwood/coverm 获取。 CoverM 用 Rust 编写，提供了 Python（https://github.com/apcamargo/pycoverm）和 Julia (https://github.com/JuliaBinaryWrappers/CoverM_jll.jl) 接口。 显示英文摘要

摘要： Genome-centric analysis of metagenomic samples is a powerful method for understanding the function of microbial communities. Calculating read coverage is a central part of analysis, enabling differential coverage binning for recovery of genomes and estimation of microbial community composition. Coverage is determined by processing read alignments to reference sequences of either contigs or genomes. Per-reference coverage is typically calculated in an ad-hoc manner, with each software package providing its own implementation and specific definition of coverage. Here we present a unified software package CoverM which calculates several coverage statistics for contigs and genomes in an ergonomic and flexible manner. It uses 'Mosdepth arrays' for computational efficiency and avoids unnecessary I/O overhead by calculating coverage statistics from streamed read alignment results. CoverM is free software available at https://github.com/wwood/coverm. CoverM is implemented in Rust, with Python (https://github.com/apcamargo/pycoverm) and Julia (https://github.com/JuliaBinaryWrappers/CoverM_jll.jl) interfaces.