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Manta:用于种系和癌症测序应用的结构变异和插入缺失的快速检测。

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications.

机构信息

Illumina, Inc, 5200 Illumina Way, San Diego, CA 92122, USA and.

Illumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, Essex CB10 1XL, UK.

出版信息

Bioinformatics. 2016 Apr 15;32(8):1220-2. doi: 10.1093/bioinformatics/btv710. Epub 2015 Dec 8.

Abstract

UNLABELLED

: We describe Manta, a method to discover structural variants and indels from next generation sequencing data. Manta is optimized for rapid germline and somatic analysis, calling structural variants, medium-sized indels and large insertions on standard compute hardware in less than a tenth of the time that comparable methods require to identify only subsets of these variant types: for example NA12878 at 50× genomic coverage is analyzed in less than 20 min. Manta can discover and score variants based on supporting paired and split-read evidence, with scoring models optimized for germline analysis of diploid individuals and somatic analysis of tumor-normal sample pairs. Call quality is similar to or better than comparable methods, as determined by pedigree consistency of germline calls and comparison of somatic calls to COSMIC database variants. Manta consistently assembles a higher fraction of its calls to base-pair resolution, allowing for improved downstream annotation and analysis of clinical significance. We provide Manta as a community resource to facilitate practical and routine structural variant analysis in clinical and research sequencing scenarios.

AVAILABILITY AND IMPLEMENTATION

Manta is released under the open-source GPLv3 license. Source code, documentation and Linux binaries are available from https://github.com/Illumina/manta.

CONTACT

csaunders@illumina.com

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

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我们描述了 Manta,一种从下一代测序数据中发现结构变体和插入缺失的方法。Manta 针对快速种系和体细胞分析进行了优化,可在标准计算硬件上调用结构变体、中等大小的插入缺失和大片段插入,耗时不到可比方法识别这些变体类型子集的十分之一:例如,在 50×基因组覆盖的情况下,对 NA12878 的分析时间不到 20 分钟。Manta 可以根据支持的配对和拆分读取证据来发现和评分变体,评分模型针对二倍体个体的种系分析和肿瘤-正常样本对的体细胞分析进行了优化。通过种系调用的家族一致性和体细胞调用与 COSMIC 数据库变体的比较,确定了与可比方法相似或更好的调用质量。Manta 一致地将更多比例的调用组装到碱基对分辨率,从而可以改进下游注释和临床意义分析。我们将 Manta 作为一个社区资源提供,以促进临床和研究测序场景中的实用和常规结构变体分析。

可用性和实施

Manta 是根据开源 GPLv3 许可证发布的。源代码、文档和 Linux 二进制文件可从 https://github.com/Illumina/manta 获得。

联系人

csaunders@illumina.com

补充信息

补充数据可在 Bioinformatics 在线获得。

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