Evidence map›Paper›PMID 23064119›Full record

ArticleRNA biology2012

SPLOOCE: a new portal for the analysis of human splicing variants.

José Eduardo Kroll, Pedro A F Galante, Daniel T Ohara, Fábio C P Navarro, Lucila Ohno-Machado, Sandro J de Souza

Abstract read
In one paragraph

Article in RNA biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

6 authors.

José Eduardo KrollLaboratory of Computational Biology, Ludwig Institute for Cancer Research; São Paulo, Brazil; Inter-institutional Program on Bioinformatics, University of São Paulo, São Paulo, Brazil.
Pedro A F Galante
Daniel T Ohara
Fábio C P Navarro
Lucila Ohno-Machado
Sandro J de Souza

Funding

Global Health Informatics for Cancer ResearchD43TW007015 · FIC · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2004 to 2013
$2.2M
FIC NIH HHS D43 TW007015FIC NIH HHS D43TW007015
6 · The paper itself

Abstract

Understanding alternative splicing is crucial to elucidate the mechanisms behind several biological phenomena, including diseases. The huge amount of expressed sequences available nowadays represents an opportunity and a challenge to catalog and display alternative splicing events (ASEs). Although several groups have faced this challenge with relative success, we still lack a computational tool that uses a simple and straightforward method to retrieve, name and present ASEs. Here we present SPLOOCE, a portal for the analysis of human splicing variants. SPLOOCE uses a method based on regular expressions for retrieval of ASEs. We propose a simple syntax that is able to capture the complexity of ASEs.

Indexed as

Alternative SplicingComputational BiologyDatabases, Nucleic AcidRNA Splice SitesHumansInternetOligonucleotide Array Sequence AnalysisRNA Splice Sitesalternative splicingbioinformaticscombined alternative splicing eventsdatabasemethod of analysisnext-generation sequencingregular expressions

Identifiers

PMID23064119
PMCPMC3597574

What OpenQuestion holds

Textmetadata
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.