Evidence map›Paper›PMID 32705130›Full record

ArticleDatabase : the journal of biological databases and curation2020

CNSA: a data repository for archiving omics data.

Xueqin Guo, Fengzhen Chen, Fei Gao, Ling Li, Ke Liu, Lijin You, Cong Hua, Fan Yang, Wanliang Liu, Chunhua Peng and 16 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 246 papers.

0numbers the graph read from it
0cells of the map it votes in
246citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

246 citing papers in PubMed.

  1. Orally administratedFrontiers in immunology · 2023
    Trial
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186 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Xueqin GuoChina National GeneBank, Shenzhen 518120, China.
Fengzhen ChenChina National GeneBank, Shenzhen 518120, China.
Fei GaoChina National GeneBank, Shenzhen 518120, China.
Ling LiChina National GeneBank, Shenzhen 518120, China.
Ke LiuChina National GeneBank, Shenzhen 518120, China.
Lijin YouChina National GeneBank, Shenzhen 518120, China.
Cong HuaChina National GeneBank, Shenzhen 518120, China.
Fan YangChina National GeneBank, Shenzhen 518120, China.
Wanliang LiuChina National GeneBank, Shenzhen 518120, China.
Chunhua PengChina National GeneBank, Shenzhen 518120, China.
Lina WangChina National GeneBank, Shenzhen 518120, China.
Xiaoxia YangChina National GeneBank, Shenzhen 518120, China.
Feiyu ZhouChina National GeneBank, Shenzhen 518120, China.
Jiawei TongChina National GeneBank, Shenzhen 518120, China.
Jia CaiChina National GeneBank, Shenzhen 518120, China.
Zhiyong LiChina National GeneBank, Shenzhen 518120, China.
Bo WanChina National GeneBank, Shenzhen 518120, China.
Lei ZhangChina National GeneBank, Shenzhen 518120, China.
Tao YangChina National GeneBank, Shenzhen 518120, China.
Minwen ZhangChina National GeneBank, Shenzhen 518120, China.
Linlin YangChina National GeneBank, Shenzhen 518120, China.
Yawen YangChina National GeneBank, Shenzhen 518120, China.
Wenjun ZengChina National GeneBank, Shenzhen 518120, China.
Bo WangChina National GeneBank, Shenzhen 518120, China.
Xiaofeng WeiChina National GeneBank, Shenzhen 518120, China.
Xun XuChina National GeneBank, Shenzhen 518120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the application and development of high-throughput sequencing technology in life and health sciences, massive multi-omics data brings the problem of efficient management and utilization. Database development and biocuration are the prerequisites for the reuse of these big data. Here, relying on China National GeneBank (CNGB), we present CNGB Sequence Archive (CNSA) for archiving omics data, including raw sequencing data and its further analyzed results which are organized into six objects, namely Project, Sample, Experiment, Run, Assembly and Variation at present. Moreover, CNSA has created a correlation model of living samples, sample information and analytical data on some projects. Both living samples and analytical data are directly correlated with the sample information. From either one, information or data of the other two can be obtained, so that all data can be traced throughout the life cycle from the living sample to the sample information to the analytical data. Complying with the data standards commonly used in the life sciences, CNSA is committed to building a comprehensive and curated data repository for storing, managing and sharing of omics data. We will continue to improve the data standards and provide free access to open-data resources for worldwide scientific communities to support academic research and the bio-industry. Database URL: https://db.cngb.org/cnsa/.

Indexed as

Database Management SystemsDatabases, GeneticData CurationBig DataComputational Biology

Identifiers

PMID32705130
PMCPMC7377928

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.