地球全基因组计划:数据发布1。

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Nanna Gaun, Carlotta Pietroni, Garazi Martin-Bideguren, Jonas Lauritsen, Ostaizka Aizpurua, Joana M Fernandes, Eduardo Ferreira, Fabien Aubret, Tom Sarraude, Constant Perry, Lucas Wauters, Claudia Romeo, Martina Spada, Claudia Tranquillo, Alex O Sutton, Michael Griesser, Miyako H Warrington, Guillem Pérez I de Lanuza, Javier Abalos, Prem Aguilar, Ferran de la Cruz, Javier Juste, Pedro Alonso-Alonso, Jim Groombridge, Rebecca Louch, Kevin Ruhomaun, Sion Henshaw, Carlos Cabido, Ion Garin Barrio, Emina Šunje, Peter Hosner, Ivan Prates, Geoffrey M While, Roberto García-Roa, Tobias Uller, Nathalie Feiner, Elisa Bonaccorso, Pernille Klein-Ipsen, Rosalina Molberg Rotovnik, Antton Alberdi, Raphael Eisenhofer
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引用次数: 0

摘要

背景:地球全基因组计划(EHI)是一项全球性的努力,致力于通过标准化生成和分析动物基因组和相关微生物宏基因组数据,从系统宿主-微生物群的角度重新审视基本的生态和进化问题。结果:EHI首次发布的数据包含968个鸟枪式DNA测序读取文件,其中包含来自12个国家21个脊椎动物物种的原始基因组和宏基因组数据5.2 TB,以及根据这些数据重建的17,666个宏基因组组装基因组。结论:该数据集可用于解决宿主-微生物群相互作用的基本问题,并将在EHI数据使用条件下提供给研究界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Earth Hologenome Initiative: Data Release 1.

Background: The Earth Hologenome Initiative (EHI) is a global endeavor dedicated to revisit fundamental ecological and evolutionary questions from the systemic host-microbiota perspective, through the standardized generation and analysis of joint animal genomic and associated microbial metagenomic data.

Results: The first data release of the EHI contains 968 shotgun DNA sequencing read files containing 5.2 TB of raw genomic and metagenomic data derived from 21 vertebrate species sampled across 12 countries, as well as 17,666 metagenome-assembled genomes reconstructed from these data.

Conclusions: The dataset can be used to address fundamental questions about host-microbiota interactions and will be available to the research community under the EHI data usage conditions.

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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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