Evidence map›Paper›PMID 19906715›Full record

ArticleNucleic acids research2010

ChimerDB 2.0--a knowledgebase for fusion genes updated.

Pora Kim, Suhyeon Yoon, Namshin Kim, Sanghyun Lee, Minjeong Ko, Haeseung Lee, Hyunjung Kang, Jaesang Kim, Sanghyuk Lee

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 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

9 authors.

Pora KimDivision of Life and Pharmaceutical Sciences, Ewha Research Center for Systems Biology, Ewha Womans University, Seoul 120-750, Korea.
Suhyeon Yoon
Namshin Kim
Sanghyun Lee
Minjeong Ko
Haeseung Lee
Hyunjung Kang
Jaesang Kim
Sanghyuk Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome translocations and gene fusions are frequent events in the human genome and have been found to cause diverse types of tumor. ChimerDB is a knowledgebase of fusion genes identified from bioinformatics analysis of transcript sequences in the GenBank and various other public resources such as the Sanger cancer genome project (CGP), OMIM, PubMed and the Mitelman's database. In this updated version, we significantly modified the algorithm of identifying fusion transcripts. Specifically, the new algorithm is more sensitive and has detected 2699 fusion transcripts with high confidence. Furthermore, it can identify interchromosomal translocations as well as the intrachromosomal deletions or inversions of large DNA segments. Importantly, results from the analysis of next-generation sequencing data in the short read archives are incorporated as well. We updated and integrated all contents (GenBank, Sanger CGP, OMIM, PubMed publications and the Mitelman's database), and the user-interface has been improved to support diverse types of searches and to enhance the user convenience especially in browsing PubMed articles. We also developed a new alignment viewer that should facilitate examining reliability of fusion transcripts and inferring functional significance. We expect ChimerDB 2.0, available at http://ercsb.ewha.ac.kr/fusiongene, to be a valuable tool in identifying biomarkers and drug targets.

Indexed as

ChromosomesDatabases, GeneticDatabases, Nucleic AcidTranslocation, GeneticAlgorithmsAnimalsComputational BiologyDatabases, ProteinGene Expression ProfilingHumansInformation Storage and RetrievalInternetPubMedSoftware

Identifiers

PMID19906715
PMCPMC2808913

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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.