Evidence map›Paper›PMID 17130147›Full record

ArticleNucleic acids research2007

H-DBAS: alternative splicing database of completely sequenced and manually annotated full-length cDNAs based on H-Invitational.

Jun-ichi Takeda, Yutaka Suzuki, Mitsuteru Nakao, Tsuyoshi Kuroda, Sumio Sugano, Takashi Gojobori, Tadashi Imanishi

Open access · goldAbstract 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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
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, 42 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Jun-ichi TakedaIntegrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics Consortium, AIST Bio-IT Research, Building Aomi 2-42, Koto-ku, Tokyo 135-0064, Japan.
Yutaka Suzuki
Mitsuteru Nakao
Tsuyoshi Kuroda
Sumio Sugano
Takashi Gojobori
Tadashi Imanishi
The University of Tokyo · JPHokkaido University · JPJapan Biological Informatics Consortium · JPKazusa DNA Research Institute · JPNational Institute of Genetics · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Human-transcriptome DataBase for Alternative Splicing (H-DBAS) is a specialized database of alternatively spliced human transcripts. In this database, each of the alternative splicing (AS) variants corresponds to a completely sequenced and carefully annotated human full-length cDNA, one of those collected for the H-Invitational human-transcriptome annotation meeting. H-DBAS contains 38,664 representative alternative splicing variants (RASVs) in 11,744 loci, in total. The data is retrievable by various features of AS, which were annotated according to manual annotations, such as by patterns of ASs, consequently invoked alternations in the encoded amino acids and affected protein motifs, GO terms, predicted subcellular localization signals and transmembrane domains. The database also records recently identified very complex patterns of AS, in which two distinct genes seemed to be bridged, nested or degenerated (multiple CDS): in all three cases, completely unrelated proteins are encoded by a single locus. By using AS Viewer, each AS event can be analyzed in the context of full-length cDNAs, enabling the user's empirical understanding of the relation between AS event and the consequent alternations in the encoded amino acid sequences together with various kinds of affected protein motifs. H-DBAS is accessible at http://jbirc.jbic.or.jp/h-dbas/.

Indexed as

Alternative SplicingDatabases, Nucleic AcidComputer GraphicsDNA, ComplementaryHumansInternetProteinsSequence Analysis, DNAUser-Computer InterfaceDNA, ComplementaryProteins

Identifiers

PMID17130147
PMCPMC1716722
OpenAlexW2059803317

What OpenQuestion holds

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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.