Evidence map›Paper›PMID 24951797›Full record

ArticleDatabase : the journal of biological databases and curation2014

UCbase 2.0: ultraconserved sequences database (2014 update).

Vincenzo Lomonaco, Riccardo Martoglia, Federica Mandreoli, Laura Anderlucci, Warren Emmett, Silvio Bicciato, Cristian Taccioli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. CNEFinder: finding conserved non-coding elements in genomes.Bioinformatics (Oxford, England) · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
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  16. Article
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.

Vincenzo LomonacoComputer Engineering Department, University of Modena, Via Campi 213/b, 44100, Modena, Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy, Department of Genetics, Environment and Evolution, Genetics Institute, University College London, London, WC1E 6BT, UK and Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, Via G. Campi 287, 41100, Modena, Italy.
Riccardo MartogliaComputer Engineering Department, University of Modena, Via Campi 213/b, 44100, Modena, Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy, Department of Genetics, Environment and Evolution, Genetics Institute, University College London, London, WC1E 6BT, UK and Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, Via G. Campi 287, 41100, Modena, Italy.
Federica MandreoliComputer Engineering Department, University of Modena, Via Campi 213/b, 44100, Modena, Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy, Department of Genetics, Environment and Evolution, Genetics Institute, University College London, London, WC1E 6BT, UK and Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, Via G. Campi 287, 41100, Modena, Italy.
Laura AnderlucciComputer Engineering Department, University of Modena, Via Campi 213/b, 44100, Modena, Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy, Department of Genetics, Environment and Evolution, Genetics Institute, University College London, London, WC1E 6BT, UK and Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, Via G. Campi 287, 41100, Modena, Italy.
Warren EmmettComputer Engineering Department, University of Modena, Via Campi 213/b, 44100, Modena, Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy, Department of Genetics, Environment and Evolution, Genetics Institute, University College London, London, WC1E 6BT, UK and Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, Via G. Campi 287, 41100, Modena, Italy.
Silvio BicciatoComputer Engineering Department, University of Modena, Via Campi 213/b, 44100, Modena, Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy, Department of Genetics, Environment and Evolution, Genetics Institute, University College London, London, WC1E 6BT, UK and Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, Via G. Campi 287, 41100, Modena, Italy.
Cristian TaccioliComputer Engineering Department, University of Modena, Via Campi 213/b, 44100, Modena, Department of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy, Department of Genetics, Environment and Evolution, Genetics Institute, University College London, London, WC1E 6BT, UK and Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, Via G. Campi 287, 41100, Modena, Italy cristian.taccioli@unimore.it taccioli@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

UCbase 2.0 (http://ucbase.unimore.it) is an update, extension and evolution of UCbase, a Web tool dedicated to the analysis of ultraconserved sequences (UCRs). UCRs are 481 sequences >200 bases sharing 100% identity among human, mouse and rat genomes. They are frequently located in genomic regions known to be involved in cancer or differentially expressed in human leukemias and carcinomas. UCbase 2.0 is a platform-independent Web resource that includes the updated version of the human genome annotation (hg19), information linking disorders to chromosomal coordinates based on the Systematized Nomenclature of Medicine classification, a query tool to search for Single Nucleotide Polymorphisms (SNPs) and a new text box to directly interrogate the database using a MySQL interface. To facilitate the interactive visual interpretation of UCR chromosomal positioning, UCbase 2.0 now includes a graph visualization interface directly linked to UCSC genome browser. Database URL: http://ucbase.unimore.it.

Indexed as

Conserved SequenceDatabases, GeneticSoftwareAnimalsHumansMicePolymorphism, Single NucleotideRatsSearch EngineUser-Computer Interface

Identifiers

PMID24951797
PMCPMC4064129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.