Evidence map›Paper›PMID 30300406›Full record

ArticlePloS one2018

BlasterJS: A novel interactive JavaScript visualisation component for BLAST alignment results.

Aitor Blanco-Míguez, Florentino Fdez-Riverola, Borja Sánchez, Anália Lourenço

Abstract read
In one paragraph

Article in PloS one, 2018. 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
–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

20 citing papers in PubMed.

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  8. MERITS: a web-based integratedBioinformatics advances · 2024
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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

4 authors.

Aitor Blanco-MíguezESEI - Department of Computer Science, University of Vigo, Ourense, Spain.
Florentino Fdez-RiverolaESEI - Department of Computer Science, University of Vigo, Ourense, Spain.ORCID 0000-0002-3943-8013
Borja SánchezCINBIO - Centro de Investigaciones Biomédicas, University of Vigo, Vigo, Spain.
Anália LourençoESEI - Department of Computer Science, University of Vigo, Ourense, Spain.ORCID 0000-0001-8401-5362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe wide range of potential applications has made the Basic Local Alignment Search Tool (BLAST) a ubiquitous tool in the field of Molecular Biology. Within this context, it is increasingly appealing to embed BLAST services within larger Web applications.

resultsThis work introduces BlasterJS viewer, a new JavaScript library for the lightweight development of Web-based applications supporting the visualisation of BLAST outputs. BlasterJS detaches from similar data viewers by focusing on the visual and interactive display of sequence similarity results and being completely independent of BLAST services. BlasterJS is compatible with the text outputs generated by the BLAST family of programs, namely BLASTp, BLASTn, BLASTx, tBLASTn, and tBLASTx, and works in all major Web browsers. Furthermore, BlasterJS is available through the EBI's BioJS registry 5, which extends its potential use to a wider scope of bioinformatics applications.

conclusionsBlasterJS is new Javascript library that enables easy and seamless integration of visual and interactive representations of BLAST outputs in Web-based applications supporting sequence similarity search. BlasterJS is free accessible at http://sing-group.org/blasterjs/.

Indexed as

Computer GraphicsWeb BrowserAmino Acid SequenceAnimalsBase SequenceComputational BiologyHumansInternetMicrobiotaSequence Alignment

Identifiers

PMID30300406
PMCPMC6177166

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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.