Evidence map›Paper›PMID 15888677›Full record

ArticlePlant physiology2005

Genome cluster database. A sequence family analysis platform for Arabidopsis and rice.

Kevin Horan, Josh Lauricha, Julia Bailey-Serres, Natasha Raikhel, Thomas Girke

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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Genome-wide identification of members of thePhysiology and molecular biology of plants : an international journal of functional plant biology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kevin HoranCenter for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, California 92521, USA.
Josh Lauricha
Julia Bailey-Serres
Natasha Raikhel
Thomas Girke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genome-wide protein sequences from Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa) spp. japonica were clustered into families using sequence similarity and domain-based clustering. The two fundamentally different methods resulted in separate cluster sets with complementary properties to compensate the limitations for accurate family analysis. Functional names for the identified families were assigned with an efficient computational approach that uses the description of the most common molecular function gene ontology node within each cluster. Subsequently, multiple alignments and phylogenetic trees were calculated for the assembled families. All clustering results and their underlying sequences were organized in the Web-accessible Genome Cluster Database (http://bioinfo.ucr.edu/projects/GCD) with rich interactive and user-friendly sequence family mining tools to facilitate the analysis of any given family of interest for the plant science community. An automated clustering pipeline ensures current information for future updates in the annotations of the two genomes and clustering improvements. The analysis allowed the first systematic identification of family and singlet proteins present in both organisms as well as those restricted to one of them. In addition, the established Web resources for mining these data provide a road map for future studies of the composition and structure of protein families between the two species.

Indexed as

Genome, PlantMultigene FamilyAlgorithmsAmino Acid SequenceArabidopsisArabidopsis ProteinsBase SequenceMolecular Sequence DataOryzaPlant ProteinsSequence AlignmentSequence Homology, Amino AcidSequence Homology, Nucleic AcidArabidopsis ProteinsPlant Proteins

Identifiers

PMID15888677
PMCPMC1104159

What OpenQuestion holds

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Registered trials

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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.