Evidence map›Paper›PMID 16010004›Full record

ArticlePlant physiology2005

Munich information center for protein sequences plant genome resources: a framework for integrative and comparative analyses 1(W).

Heiko Schoof, Manuel Spannagl, Li Yang, Rebecca Ernst, Heidrun Gundlach, Dirk Haase, Georg Haberer, Klaus F X Mayer

Abstract read
In one paragraph

Article in Plant physiology, 2005. 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.

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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

8 authors.

Heiko SchoofTechnische Universität München, Chair of Genome Oriented Bioinformatics, Center of Life and Food Science, D-85354 Freising-Weihenstephan, Germany. schoof@mpiz-koeln.mpg.de
Manuel Spannagl
Li Yang
Rebecca Ernst
Heidrun Gundlach
Dirk Haase
Georg Haberer
Klaus F X Mayer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With several plant genomes sequenced, the power of comparative genome analysis can now be applied. However, genome-scale cross-species analyses are limited by the effort for data integration. To develop an integrated cross-species plant genome resource, we maintain comprehensive databases for model plant genomes, including Arabidopsis (Arabidopsis thaliana), maize (Zea mays), Medicago truncatula, and rice (Oryza sativa). Integration of data and resources is emphasized, both in house as well as with external partners and databases. Manual curation and state-of-the-art bioinformatic analysis are combined to achieve quality data. Easy access to the data is provided through Web interfaces and visualization tools, bulk downloads, and Web services for application-level access. This allows a consistent view of the model plant genomes for comparative and evolutionary studies, the transfer of knowledge between species, and the integration with functional genomics data.

Indexed as

Databases, GeneticDatabases, ProteinGenome, PlantComputational BiologyDatabase Management SystemsGermanyInformation CentersInformation Storage and RetrievalPlant ProteinsPlant Proteins

Identifiers

PMID16010004
PMCPMC1176403

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.