Best-practice guidance for Earth BioGenome Project sample collection and processing: progress and challenges in biodiverse reference genome creation.

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Mara K N Lawniczak, Kevin M Kocot, Jonas J Astrin, Mark Blaxter, Cibele G Sotero-Caio, Katharine B Barker, Anna K Childers, Jonathan Coddington, Paul Davis, Kerstin Howe, Warren E Johnson, Duane D McKenna, Jeremy G Wideman, Olga Vinnere Pettersson, Verena Ras, Bernardo F Santos
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引用次数: 0

Abstract

The Earth BioGenome Project has the extremely ambitious goal of generating, at scale, high-quality reference genomes across the entire Tree of Life. Currently in its first phase, the project is targeting family-level representatives and is progressing rapidly. Here we outline recommended standards and considerations in sample acquisition and processing for those involved in biodiverse reference genome creation. These standards and recommendations will evolve with advances in related processes. Additionally, we discuss the challenges raised by the ambitions for later phases of the project, highlighting topics related to sample collection and processing that require further development.

地球生物基因组计划样本收集和处理的最佳实践指南:生物多样性参考基因组创建的进展和挑战。
地球生物基因组计划有一个雄心勃勃的目标,那就是在整个生命之树中大规模地生成高质量的参考基因组。该项目目前处于第一阶段,以家庭一级的代表为对象,进展迅速。在这里,我们概述了在样本采集和处理中涉及生物多样性参考基因组创建的建议标准和注意事项。这些标准和建议将随着相关进程的进展而发展。此外,我们还讨论了项目后期雄心所带来的挑战,强调了需要进一步发展的与样品收集和处理相关的主题。
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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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