Evidence map›Paper›PMID 20807877›Full record

ArticleThe Plant cell2010

An international bioinformatics infrastructure to underpin the Arabidopsis community.

International Arabidopsis Informatics Consortium

Abstract read
In one paragraph

Article in The Plant cell, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Making open data work for plant scientists.Journal of experimental botany · 2013
    Article
  7. Article
  8. Article
  9. Article
  10. 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

1 author.

International Arabidopsis Informatics Consortium

Funding

STRESS HORMONE SIGNAL TRANSDUCTION IN ARABIDOPSISR01GM060396 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHROEDER, JULIAN I · 2000 to 2023
$7.4M
Biotechnology and Biological Sciences Research Council BB/E01772X/1Biotechnology and Biological Sciences Research Council BB/E022758/1Biotechnology and Biological Sciences Research Council BB/F019793/1Biotechnology and Biological Sciences Research Council BB/G021481/1Biotechnology and Biological Sciences Research Council BB/G024715/1Biotechnology and Biological Sciences Research Council BB/H531519/1Biotechnology and Biological Sciences Research Council BB/I001271/1Biotechnology and Biological Sciences Research Council BBS/B/1356XBiotechnology and Biological Sciences Research Council BBS/E/C/00004941Biotechnology and Biological Sciences Research Council G17764Biotechnology and Biological Sciences Research Council G18881NIGMS NIH HHS R01 GM060396
6 · The paper itself

Abstract

The future bioinformatics needs of the Arabidopsis community as well as those of other scientific communities that depend on Arabidopsis resources were discussed at a pair of recent meetings held by the Multinational Arabidopsis Steering Committee and the North American Arabidopsis Steering Committee. There are extensive tools and resources for information storage, curation, and retrieval of Arabidopsis data that have been developed over recent years primarily through the activities of The Arabidopsis Information Resource, the Nottingham Arabidopsis Stock Centre, and the Arabidopsis Biological Resource Center, among others. However, the rapid expansion in many data types, the international basis of the Arabidopsis community, and changing priorities of the funding agencies all suggest the need for changes in the way informatics infrastructure is developed and maintained. We propose that there is a need for a single core resource that is integrated into a larger international consortium of investigators. We envision this to consist of a distributed system of data, tools, and resources, accessed via a single information portal and funded by a variety of sources, under shared international management of an International Arabidopsis Informatics Consortium (IAIC). This article outlines the proposal for the development, management, operations, and continued funding for the IAIC.

Indexed as

Computational BiologyDatabases, GeneticGenome, PlantArabidopsisInformation Storage and RetrievalInternational Cooperation

Identifiers

PMID20807877
PMCPMC2947164

What OpenQuestion holds

Textmetadata
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.