Evidence map›Paper›PMID 25707592›Full record

ReviewGenomics, proteomics & bioinformatics2015

Web resources for model organism studies.

Bixia Tang, Yanqing Wang, Junwei Zhu, Wenming Zhao

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. On bioinformatic resources.Genomics, proteomics & bioinformatics · 2015
    Article
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

4 authors.

Bixia TangCore Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Yanqing WangCore Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Junwei ZhuCore Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Wenming ZhaoCore Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: zhaowm@big.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ever-growing number of resources on model organisms have emerged with the continued development of sequencing technologies. In this paper, we review 13 databases of model organisms, most of which are reported by the National Institutes of Health of the United States (NIH; http://www.nih.gov/science/models/). We provide a brief description for each database, as well as detail its data source and types, functions, tools, and availability of access. In addition, we also provide a quality assessment about these databases. Significantly, the organism databases instituted in the early 1990s--such as the Mouse Genome Database (MGD), Saccharomyces Genome Database (SGD), and FlyBase--have developed into what are now comprehensive, core authority resources. Furthermore, all of the databases mentioned here update continually according to user feedback and with advancing technologies.

Indexed as

Databases, FactualDisease Models, AnimalInternetAnimalsHumansMiceBioinformaticsBiologyDatabaseGenomeModel organism

Identifiers

PMID25707592
PMCPMC4411489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.