Evidence map›Paper›PMID 17132829›Full record

ArticleNucleic acids research2007

ECgene: an alternative splicing database update.

Yeunsook Lee, Younghee Lee, Bumjin Kim, Youngah Shin, Seungyoon Nam, Pora Kim, Namshin Kim, Won-Hyong Chung, Jaesang Kim, Sanghyuk Lee

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  18. Genomic landscape of developing male germ cells.Birth defects research. Part C, Embryo today : reviews · 2009
    Review
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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

10 authors.

Yeunsook LeeDivision of Molecular Life Sciences, Ewha Womans University, Seoul 120-750, Korea.
Younghee Lee
Bumjin Kim
Youngah Shin
Seungyoon Nam
Pora Kim
Namshin Kim
Won-Hyong Chung
Jaesang Kim
Sanghyuk Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ECgene (http://genome.ewha.ac.kr/ECgene) was developed to provide functional annotation for alternatively spliced genes. The applications encompass the genome-based transcript modeling for alternative splicing (AS), domain analysis with Gene Ontology (GO) annotation and expression analysis based on the EST and SAGE data. We have expanded the ECgene's AS modeling and EST clustering to nine organisms for which sufficient EST data are available in the GenBank. As for the human genome, we have also introduced several new applications to analyze differential expression. ECprofiler is an ontology-based candidate gene search system that allows users to select an arbitrary combination of gene expression pattern and GO functional categories. DEGEST is a database of differentially expressed genes and isoforms based on the EST information. Importantly, gene expression is analyzed at three distinctive levels-gene, isoform and exon levels. The user interfaces for functional and expression analyses have been substantially improved. ASviewer is a dedicated java application that visualizes the transcript structure and functional features of alternatively spliced variants. The SAGE part of the expression module provides many additional features including SNP, differential expression and alternative tag positions.

Indexed as

Alternative SplicingDatabases, GeneticAnimalsCluster AnalysisComputer GraphicsDogsDrosophila melanogasterExonsExpressed Sequence TagsGene Expression ProfilingGenomicsHumansInternetMiceModels, GeneticProtein IsoformsProtein IsoformsRNA, Messenger

Identifiers

PMID17132829
PMCPMC1716719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.