The Quartet Data Portal: integration of community-wide resources for multiomics quality control

Abstract The implementation of quality control for multiomic data requires the widespread use of well-characterized reference materials, reference datasets, and related resources. The Quartet Data Portal was built to facilitate community access to such rich resources established in the Quartet Project. A convenient platform is provided for users to request the DNA, RNA, protein, and metabolite reference materials, as well as multi-level datasets generated across omics, platforms, labs, protocols, and batches. Interactive visualization tools are offered to assist users to gain a quick understanding of the reference datasets. Crucially, the Quartet Data Portal continuously collects, evaluates, and integrates the community-generated data of the distributed Quartet multiomic reference materials. In addition, the portal provides analysis pipelines to assess the quality of user-submitted multiomic data. Furthermore, the reference datasets, performance metrics, and analysis pipelines will be improved through periodic review and integration of multiomic data submitted by the community. Effective integration of the evolving technologies via active interactions with the community will help ensure the reliability of multiomics-based biological discoveries. The Quartet Data Portal is accessible at<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://chinese-quartet.org">https://chinese-quartet.org</jats:ext-link>.Graphical Abstract <jats:fig id="ufig1" position="anchor" orientation="portrait"><jats:graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="507202v1_ufig1" position="float" orientation="portrait" /></jats:fig>.

Medienart:

Preprint

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

bioRxiv.org - (2024) vom: 23. Apr. Zur Gesamtaufnahme - year:2024

Sprache:

Englisch

Beteiligte Personen:

Yang, Jingcheng [VerfasserIn]
Liu, Yaqing [VerfasserIn]
Shang, Jun [VerfasserIn]
Chen, Qiaochu [VerfasserIn]
Chen, Qingwang [VerfasserIn]
Ren, Luyao [VerfasserIn]
Zhang, Naixin [VerfasserIn]
Yu, Ying [VerfasserIn]
Li, Zhihui [VerfasserIn]
Song, Yueqiang [VerfasserIn]
Yang, Shengpeng [VerfasserIn]
Scherer, Andreas [VerfasserIn]
Tong, Weida [VerfasserIn]
Hong, Huixiao [VerfasserIn]
Shi, Leming [VerfasserIn]
Xiao, Wenming [VerfasserIn]
Zheng, Yuanting [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
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Themen:

570
Biology

doi:

10.1101/2022.09.26.507202

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI037430742