HoloFood Data Portal: holo-omic datasets for analysing host-microbiota interactions in animal production.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Alexander B Rogers, Varsha Kale, Germana Baldi, Antton Alberdi, M Thomas P Gilbert, Dipayan Gupta, Morten T Limborg, Sen Li, Thomas Payne, Bent Petersen, Jacob A Rasmussen, Lorna Richardson, Robert D Finn
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引用次数: 0

Abstract

The HoloFood project used a hologenomic approach to understand the impact of host-microbiota interactions on salmon and chicken production by analysing multiomic data, phenotypic characteristics, and associated metadata in response to novel feeds. The project's raw data, derived analyses, and metadata are deposited in public, open archives (BioSamples, European Nucleotide Archive, MetaboLights, and MGnify), so making use of these diverse data types may require access to multiple resources. This is especially complex where analysis pipelines produce derived outputs such as functional profiles or genome catalogues. The HoloFood Data Portal is a web resource that simplifies access to the project datasets. For example, users can conveniently access multiomic datasets derived from the same individual or retrieve host phenotypic data with a linked gut microbiome sample. Project-specific metagenome-assembled genome and viral catalogues are also provided, linking to broader datasets in MGnify. The portal stores only data necessary to provide these relationships, with possible linking to the underlying repositories. The portal showcases a model approach for how future multiomics datasets can be made available. Database URL:  https://www.holofooddata.org.

全息食品数据门户:用于分析动物生产中宿主-微生物群相互作用的全息数据集。
HoloFood项目通过分析多组学数据、表型特征和对新饲料的相关元数据,使用全基因组学方法来了解宿主-微生物群相互作用对鲑鱼和鸡肉生产的影响。该项目的原始数据、衍生分析和元数据存储在公共、开放的档案中(BioSamples、European Nucleotide Archive、MetaboLights和MGnify),因此使用这些不同的数据类型可能需要访问多个资源。在分析管道产生衍生输出(如功能概况或基因组目录)的情况下,这尤其复杂。HoloFood数据门户是一个网络资源,简化了对项目数据集的访问。例如,用户可以方便地访问来自同一个体的多组数据集,或者检索具有关联肠道微生物组样本的宿主表型数据。还提供了特定项目的宏基因组组装基因组和病毒目录,链接到MGnify中更广泛的数据集。门户只存储提供这些关系所需的数据,并可能链接到底层存储库。门户网站展示了如何提供未来多组学数据集的模型方法。数据库地址:https://www.holofooddata.org。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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